A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves

Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a...
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Gespeichert in:

Autor*in:	Mokarram, Vahid [verfasserIn] Banan, Mohammad Reza

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Incremental dynamic analysis Fibonacci algorithm Seismic capacity of structures

Anmerkung:	© Shiraz University 2018

Übergeordnetes Werk:	Enthalten in: Iranian journal of science and technology - Shiraz : Shiraz University, 2001, 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22
Übergeordnetes Werk:	volume:43 ; year:2018 ; number:Suppl 1 ; day:20 ; month:11 ; pages:15-22

Links:	Volltext

DOI / URN:	10.1007/s40996-018-0201-5

Katalog-ID:	SPR03804630X

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520			\|a Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses.
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allfields	10.1007/s40996-018-0201-5 doi (DE-627)SPR03804630X (SPR)s40996-018-0201-5-e DE-627 ger DE-627 rakwb eng Mokarram, Vahid verfasserin aut A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2018 Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. Incremental dynamic analysis (dpeaa)DE-He213 Fibonacci algorithm (dpeaa)DE-He213 Seismic capacity of structures (dpeaa)DE-He213 Banan, Mohammad Reza (orcid)0000-0002-7150-5343 aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:43 year:2018 number:Suppl 1 day:20 month:11 pages:15-22 https://dx.doi.org/10.1007/s40996-018-0201-5 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_65 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_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2018 Suppl 1 20 11 15-22
spelling	10.1007/s40996-018-0201-5 doi (DE-627)SPR03804630X (SPR)s40996-018-0201-5-e DE-627 ger DE-627 rakwb eng Mokarram, Vahid verfasserin aut A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2018 Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. Incremental dynamic analysis (dpeaa)DE-He213 Fibonacci algorithm (dpeaa)DE-He213 Seismic capacity of structures (dpeaa)DE-He213 Banan, Mohammad Reza (orcid)0000-0002-7150-5343 aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:43 year:2018 number:Suppl 1 day:20 month:11 pages:15-22 https://dx.doi.org/10.1007/s40996-018-0201-5 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_65 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_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2018 Suppl 1 20 11 15-22
allfields_unstemmed	10.1007/s40996-018-0201-5 doi (DE-627)SPR03804630X (SPR)s40996-018-0201-5-e DE-627 ger DE-627 rakwb eng Mokarram, Vahid verfasserin aut A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2018 Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. Incremental dynamic analysis (dpeaa)DE-He213 Fibonacci algorithm (dpeaa)DE-He213 Seismic capacity of structures (dpeaa)DE-He213 Banan, Mohammad Reza (orcid)0000-0002-7150-5343 aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:43 year:2018 number:Suppl 1 day:20 month:11 pages:15-22 https://dx.doi.org/10.1007/s40996-018-0201-5 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_65 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_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2018 Suppl 1 20 11 15-22
allfieldsGer	10.1007/s40996-018-0201-5 doi (DE-627)SPR03804630X (SPR)s40996-018-0201-5-e DE-627 ger DE-627 rakwb eng Mokarram, Vahid verfasserin aut A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2018 Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. Incremental dynamic analysis (dpeaa)DE-He213 Fibonacci algorithm (dpeaa)DE-He213 Seismic capacity of structures (dpeaa)DE-He213 Banan, Mohammad Reza (orcid)0000-0002-7150-5343 aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:43 year:2018 number:Suppl 1 day:20 month:11 pages:15-22 https://dx.doi.org/10.1007/s40996-018-0201-5 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_65 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_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2018 Suppl 1 20 11 15-22
allfieldsSound	10.1007/s40996-018-0201-5 doi (DE-627)SPR03804630X (SPR)s40996-018-0201-5-e DE-627 ger DE-627 rakwb eng Mokarram, Vahid verfasserin aut A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Shiraz University 2018 Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. Incremental dynamic analysis (dpeaa)DE-He213 Fibonacci algorithm (dpeaa)DE-He213 Seismic capacity of structures (dpeaa)DE-He213 Banan, Mohammad Reza (orcid)0000-0002-7150-5343 aut Enthalten in Iranian journal of science and technology Shiraz : Shiraz University, 2001 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22 (DE-627)844238023 (DE-600)2843076-1 2364-1843 nnns volume:43 year:2018 number:Suppl 1 day:20 month:11 pages:15-22 https://dx.doi.org/10.1007/s40996-018-0201-5 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_65 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_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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_2118 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_4126 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2018 Suppl 1 20 11 15-22
language	English
source	Enthalten in Iranian journal of science and technology 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22 volume:43 year:2018 number:Suppl 1 day:20 month:11 pages:15-22
sourceStr	Enthalten in Iranian journal of science and technology 43(2018), Suppl 1 vom: 20. Nov., Seite 15-22 volume:43 year:2018 number:Suppl 1 day:20 month:11 pages:15-22
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Incremental dynamic analysis Fibonacci algorithm Seismic capacity of structures
isfreeaccess_bool	false
container_title	Iranian journal of science and technology
authorswithroles_txt_mv	Mokarram, Vahid @@aut@@ Banan, Mohammad Reza @@aut@@
publishDateDaySort_date	2018-11-20T00:00:00Z
hierarchy_top_id	844238023
id	SPR03804630X
language_de	englisch
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author	Mokarram, Vahid
spellingShingle	Mokarram, Vahid misc Incremental dynamic analysis misc Fibonacci algorithm misc Seismic capacity of structures A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves
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topic_title	A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves Incremental dynamic analysis (dpeaa)DE-He213 Fibonacci algorithm (dpeaa)DE-He213 Seismic capacity of structures (dpeaa)DE-He213
topic	misc Incremental dynamic analysis misc Fibonacci algorithm misc Seismic capacity of structures
topic_unstemmed	misc Incremental dynamic analysis misc Fibonacci algorithm misc Seismic capacity of structures
topic_browse	misc Incremental dynamic analysis misc Fibonacci algorithm misc Seismic capacity of structures
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title	A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves
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title_full	A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves
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journal	Iranian journal of science and technology
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author_browse	Mokarram, Vahid Banan, Mohammad Reza
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author-letter	Mokarram, Vahid
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title_sort	new fibonacci-based algorithm for locating peak intensity measure of ida curves
title_auth	A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves
abstract	Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. © Shiraz University 2018
abstractGer	Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. © Shiraz University 2018
abstract_unstemmed	Abstract Although incremental dynamic analysis (IDA) can be regarded as an accurate tool for evaluating seismic capacity of structures, it is very time intensive. Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. Since the proposed method can be regarded as an optimal approach for establishing the IDA curves, it can be efficiently used in optimization problems in which objective functions or the constraints are related to IDA analyses. © Shiraz University 2018
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title_short	A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves
url	https://dx.doi.org/10.1007/s40996-018-0201-5
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author2	Banan, Mohammad Reza
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up_date	2024-07-03T15:54:19.766Z
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Generating IDA curves requires performing multiple nonlinear time-history analyses (NTHA) for given earthquake records. In this paper, a new algorithm based on Fibonacci sequence is developed for finding the maximum intensity measure (IM) under which the structure’s dynamic response is numerically stable. It is shown that, by performing a very limited number of evaluations, the method can locate this point with the desired accuracy even if the IDA curve is not unimodal. Once the maximum IM is found, the whole IDA curve can be obtained by performing a few more NTHAs. 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A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves

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