A novel crowd random loads model for pedestrians walking on footbridge

Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there ar...
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Autor*in:	Niu, Shaohua [verfasserIn] Wang, Caifeng [verfasserIn] Gao, Shiqiao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Footbridge Pedestrian flow Crowd loads model Stochastic nature Finite element method

Übergeordnetes Werk:	Enthalten in: Archive of applied mechanics - Berlin : Springer, 1929, 86(2016), 7 vom: 19. Feb., Seite 1369-1381
Übergeordnetes Werk:	volume:86 ; year:2016 ; number:7 ; day:19 ; month:02 ; pages:1369-1381

Links:	Volltext

DOI / URN:	10.1007/s00419-016-1122-z

Katalog-ID:	SPR005478448

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245	1	2	\|a A novel crowd random loads model for pedestrians walking on footbridge
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520			\|a Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper.
650		4	\|a Footbridge \|7 (dpeaa)DE-He213
650		4	\|a Pedestrian flow \|7 (dpeaa)DE-He213
650		4	\|a Crowd loads model \|7 (dpeaa)DE-He213
650		4	\|a Stochastic nature \|7 (dpeaa)DE-He213
650		4	\|a Finite element method \|7 (dpeaa)DE-He213
700	1		\|a Wang, Caifeng \|e verfasserin \|4 aut
700	1		\|a Gao, Shiqiao \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Archive of applied mechanics \|d Berlin : Springer, 1929 \|g 86(2016), 7 vom: 19. Feb., Seite 1369-1381 \|w (DE-627)27012618X \|w (DE-600)1476349-7 \|x 1432-0681 \|7 nnns
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912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_267
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
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912			\|a GBV_ILN_2010
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912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
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912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2070
912			\|a GBV_ILN_2086
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
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912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2116
912			\|a GBV_ILN_2118
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author_variant	s n sn c w cw s g sg
matchkey_str	article:14320681:2016----::nvlrwrnolasoefreetinwl
hierarchy_sort_str	2016
bklnumber	50.31 50.32 50.33
publishDate	2016
allfields	10.1007/s00419-016-1122-z doi (DE-627)SPR005478448 (SPR)s00419-016-1122-z-e DE-627 ger DE-627 rakwb eng 690 ASE 50.31 bkl 50.32 bkl 50.33 bkl Niu, Shaohua verfasserin aut A novel crowd random loads model for pedestrians walking on footbridge 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper. Footbridge (dpeaa)DE-He213 Pedestrian flow (dpeaa)DE-He213 Crowd loads model (dpeaa)DE-He213 Stochastic nature (dpeaa)DE-He213 Finite element method (dpeaa)DE-He213 Wang, Caifeng verfasserin aut Gao, Shiqiao verfasserin aut Enthalten in Archive of applied mechanics Berlin : Springer, 1929 86(2016), 7 vom: 19. Feb., Seite 1369-1381 (DE-627)27012618X (DE-600)1476349-7 1432-0681 nnns volume:86 year:2016 number:7 day:19 month:02 pages:1369-1381 https://dx.doi.org/10.1007/s00419-016-1122-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.31 ASE 50.32 ASE 50.33 ASE AR 86 2016 7 19 02 1369-1381
spelling	10.1007/s00419-016-1122-z doi (DE-627)SPR005478448 (SPR)s00419-016-1122-z-e DE-627 ger DE-627 rakwb eng 690 ASE 50.31 bkl 50.32 bkl 50.33 bkl Niu, Shaohua verfasserin aut A novel crowd random loads model for pedestrians walking on footbridge 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper. Footbridge (dpeaa)DE-He213 Pedestrian flow (dpeaa)DE-He213 Crowd loads model (dpeaa)DE-He213 Stochastic nature (dpeaa)DE-He213 Finite element method (dpeaa)DE-He213 Wang, Caifeng verfasserin aut Gao, Shiqiao verfasserin aut Enthalten in Archive of applied mechanics Berlin : Springer, 1929 86(2016), 7 vom: 19. Feb., Seite 1369-1381 (DE-627)27012618X (DE-600)1476349-7 1432-0681 nnns volume:86 year:2016 number:7 day:19 month:02 pages:1369-1381 https://dx.doi.org/10.1007/s00419-016-1122-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.31 ASE 50.32 ASE 50.33 ASE AR 86 2016 7 19 02 1369-1381
allfields_unstemmed	10.1007/s00419-016-1122-z doi (DE-627)SPR005478448 (SPR)s00419-016-1122-z-e DE-627 ger DE-627 rakwb eng 690 ASE 50.31 bkl 50.32 bkl 50.33 bkl Niu, Shaohua verfasserin aut A novel crowd random loads model for pedestrians walking on footbridge 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper. Footbridge (dpeaa)DE-He213 Pedestrian flow (dpeaa)DE-He213 Crowd loads model (dpeaa)DE-He213 Stochastic nature (dpeaa)DE-He213 Finite element method (dpeaa)DE-He213 Wang, Caifeng verfasserin aut Gao, Shiqiao verfasserin aut Enthalten in Archive of applied mechanics Berlin : Springer, 1929 86(2016), 7 vom: 19. Feb., Seite 1369-1381 (DE-627)27012618X (DE-600)1476349-7 1432-0681 nnns volume:86 year:2016 number:7 day:19 month:02 pages:1369-1381 https://dx.doi.org/10.1007/s00419-016-1122-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.31 ASE 50.32 ASE 50.33 ASE AR 86 2016 7 19 02 1369-1381
allfieldsGer	10.1007/s00419-016-1122-z doi (DE-627)SPR005478448 (SPR)s00419-016-1122-z-e DE-627 ger DE-627 rakwb eng 690 ASE 50.31 bkl 50.32 bkl 50.33 bkl Niu, Shaohua verfasserin aut A novel crowd random loads model for pedestrians walking on footbridge 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper. Footbridge (dpeaa)DE-He213 Pedestrian flow (dpeaa)DE-He213 Crowd loads model (dpeaa)DE-He213 Stochastic nature (dpeaa)DE-He213 Finite element method (dpeaa)DE-He213 Wang, Caifeng verfasserin aut Gao, Shiqiao verfasserin aut Enthalten in Archive of applied mechanics Berlin : Springer, 1929 86(2016), 7 vom: 19. Feb., Seite 1369-1381 (DE-627)27012618X (DE-600)1476349-7 1432-0681 nnns volume:86 year:2016 number:7 day:19 month:02 pages:1369-1381 https://dx.doi.org/10.1007/s00419-016-1122-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.31 ASE 50.32 ASE 50.33 ASE AR 86 2016 7 19 02 1369-1381
allfieldsSound	10.1007/s00419-016-1122-z doi (DE-627)SPR005478448 (SPR)s00419-016-1122-z-e DE-627 ger DE-627 rakwb eng 690 ASE 50.31 bkl 50.32 bkl 50.33 bkl Niu, Shaohua verfasserin aut A novel crowd random loads model for pedestrians walking on footbridge 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper. Footbridge (dpeaa)DE-He213 Pedestrian flow (dpeaa)DE-He213 Crowd loads model (dpeaa)DE-He213 Stochastic nature (dpeaa)DE-He213 Finite element method (dpeaa)DE-He213 Wang, Caifeng verfasserin aut Gao, Shiqiao verfasserin aut Enthalten in Archive of applied mechanics Berlin : Springer, 1929 86(2016), 7 vom: 19. Feb., Seite 1369-1381 (DE-627)27012618X (DE-600)1476349-7 1432-0681 nnns volume:86 year:2016 number:7 day:19 month:02 pages:1369-1381 https://dx.doi.org/10.1007/s00419-016-1122-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.31 ASE 50.32 ASE 50.33 ASE AR 86 2016 7 19 02 1369-1381
language	English
source	Enthalten in Archive of applied mechanics 86(2016), 7 vom: 19. Feb., Seite 1369-1381 volume:86 year:2016 number:7 day:19 month:02 pages:1369-1381
sourceStr	Enthalten in Archive of applied mechanics 86(2016), 7 vom: 19. Feb., Seite 1369-1381 volume:86 year:2016 number:7 day:19 month:02 pages:1369-1381
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Footbridge Pedestrian flow Crowd loads model Stochastic nature Finite element method
dewey-raw	690
isfreeaccess_bool	false
container_title	Archive of applied mechanics
authorswithroles_txt_mv	Niu, Shaohua @@aut@@ Wang, Caifeng @@aut@@ Gao, Shiqiao @@aut@@
publishDateDaySort_date	2016-02-19T00:00:00Z
hierarchy_top_id	27012618X
dewey-sort	3690
id	SPR005478448
language_de	englisch
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author	Niu, Shaohua
spellingShingle	Niu, Shaohua ddc 690 bkl 50.31 bkl 50.32 bkl 50.33 misc Footbridge misc Pedestrian flow misc Crowd loads model misc Stochastic nature misc Finite element method A novel crowd random loads model for pedestrians walking on footbridge
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topic_title	690 ASE 50.31 bkl 50.32 bkl 50.33 bkl A novel crowd random loads model for pedestrians walking on footbridge Footbridge (dpeaa)DE-He213 Pedestrian flow (dpeaa)DE-He213 Crowd loads model (dpeaa)DE-He213 Stochastic nature (dpeaa)DE-He213 Finite element method (dpeaa)DE-He213
topic	ddc 690 bkl 50.31 bkl 50.32 bkl 50.33 misc Footbridge misc Pedestrian flow misc Crowd loads model misc Stochastic nature misc Finite element method
topic_unstemmed	ddc 690 bkl 50.31 bkl 50.32 bkl 50.33 misc Footbridge misc Pedestrian flow misc Crowd loads model misc Stochastic nature misc Finite element method
topic_browse	ddc 690 bkl 50.31 bkl 50.32 bkl 50.33 misc Footbridge misc Pedestrian flow misc Crowd loads model misc Stochastic nature misc Finite element method
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title	A novel crowd random loads model for pedestrians walking on footbridge
ctrlnum	(DE-627)SPR005478448 (SPR)s00419-016-1122-z-e
title_full	A novel crowd random loads model for pedestrians walking on footbridge
author_sort	Niu, Shaohua
journal	Archive of applied mechanics
journalStr	Archive of applied mechanics
lang_code	eng
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author_browse	Niu, Shaohua Wang, Caifeng Gao, Shiqiao
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title_sort	novel crowd random loads model for pedestrians walking on footbridge
title_auth	A novel crowd random loads model for pedestrians walking on footbridge
abstract	Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper.
abstractGer	Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper.
abstract_unstemmed	Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper.
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title_short	A novel crowd random loads model for pedestrians walking on footbridge
url	https://dx.doi.org/10.1007/s00419-016-1122-z
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author2	Wang, Caifeng Gao, Shiqiao
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doi_str	10.1007/s00419-016-1122-z
up_date	2024-07-03T16:36:41Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR005478448</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220110182509.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2016 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00419-016-1122-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR005478448</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00419-016-1122-z-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">50.31</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">50.32</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">50.33</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Niu, Shaohua</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A novel crowd random loads model for pedestrians walking on footbridge</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract With modern footbridges becoming lighter and slenderer, the serviceability has gained more and more concern. For analyzing the vibration and evaluating the serviceability of footbridge, it is essential to give a proper model of loads induced by man, especially by crowd. At present, there are some models for crowd loads (e.g., Matsumoto’s model). In these models, a factor relating to the number of pedestrians is always introduced to multiply the amplitude calculated for single person. However, not only the amplitude but also the distribution, which is not considered in the present models, of the loads will effect on the dynamic response of structure. In addition, for crowd loads, it has strong stochastic nature including the distribution and the difference between pedestrians in the crowd. The walking parameters for single person of Chinese people are obtained by a walkway measure system, and the random characteristics of these parameters are analyzed. Then, a crowd random loads model is set up, in which the randomness of single pedestrian and the distribution of pedestrians on structure are involved. Finally, based on the model, the dynamic response of a footbridge under random pedestrians flow is analyzed by finite element method. According to the results, it is more near to real dynamic response situation of footbridge under crowd loads with the model and method introduced in this paper.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Footbridge</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pedestrian flow</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Crowd loads model</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stochastic nature</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Finite element method</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Caifeng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gao, Shiqiao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Archive of applied mechanics</subfield><subfield code="d">Berlin : Springer, 1929</subfield><subfield code="g">86(2016), 7 vom: 19. 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A novel crowd random loads model for pedestrians walking on footbridge

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