An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures

Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy...
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Autor*in:	Hassan Baji [verfasserIn] Wei Yang Chun-Qing Li

Format:	Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Preventive maintenance Steel structures Rehabilitation Strategy Genetic algorithms Concrete Structural engineers Concrete structures Solution strengthening Deterioration Corrosion Fiber reinforced concretes Fiber reinforced polymers Fiber reinforced plastics Reinforced concrete Reinforcing steels Optimization

Übergeordnetes Werk:	Enthalten in: ACI structural journal - Farmington, Mich. : ACI, 1987, 114(2017), 6, Seite 1591-1602
Übergeordnetes Werk:	volume:114 ; year:2017 ; number:6 ; pages:1591-1602

Links:	Volltext Link aufrufen

DOI / URN:	10.14359/51700834

Katalog-ID:	OLC1999378466

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520			\|a Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure.
650		4	\|a Preventive maintenance
650		4	\|a Steel structures
650		4	\|a Rehabilitation
650		4	\|a Strategy
650		4	\|a Genetic algorithms
650		4	\|a Concrete
650		4	\|a Structural engineers
650		4	\|a Concrete structures
650		4	\|a Solution strengthening
650		4	\|a Deterioration
650		4	\|a Corrosion
650		4	\|a Fiber reinforced concretes
650		4	\|a Fiber reinforced polymers
650		4	\|a Fiber reinforced plastics
650		4	\|a Reinforced concrete
650		4	\|a Reinforcing steels
650		4	\|a Optimization
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700	0		\|a Chun-Qing Li \|4 oth
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allfields	10.14359/51700834 doi PQ20171228 (DE-627)OLC1999378466 (DE-599)GBVOLC1999378466 (PRQ)p578-fd51f1011f7d7b42be1a95d3dd7ebb6759b480f03d52349990c5e028aa9aacc20 (KEY)0158851620170000114000601591optimumstrengtheningstrategyforcorrosionaffectedre DE-627 ger DE-627 rakwb eng 690 DNB 56.00 bkl Hassan Baji verfasserin aut An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure. Preventive maintenance Steel structures Rehabilitation Strategy Genetic algorithms Concrete Structural engineers Concrete structures Solution strengthening Deterioration Corrosion Fiber reinforced concretes Fiber reinforced polymers Fiber reinforced plastics Reinforced concrete Reinforcing steels Optimization Wei Yang oth Chun-Qing Li oth Enthalten in ACI structural journal Farmington, Mich. : ACI, 1987 114(2017), 6, Seite 1591-1602 (DE-627)130403415 (DE-600)607622-1 (DE-576)015907082 0889-3241 nnns volume:114 year:2017 number:6 pages:1591-1602 http://dx.doi.org/10.14359/51700834 Volltext https://search.proquest.com/docview/1966008478 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2057 GBV_ILN_2354 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4266 GBV_ILN_4317 56.00 AVZ AR 114 2017 6 1591-1602
spelling	10.14359/51700834 doi PQ20171228 (DE-627)OLC1999378466 (DE-599)GBVOLC1999378466 (PRQ)p578-fd51f1011f7d7b42be1a95d3dd7ebb6759b480f03d52349990c5e028aa9aacc20 (KEY)0158851620170000114000601591optimumstrengtheningstrategyforcorrosionaffectedre DE-627 ger DE-627 rakwb eng 690 DNB 56.00 bkl Hassan Baji verfasserin aut An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure. Preventive maintenance Steel structures Rehabilitation Strategy Genetic algorithms Concrete Structural engineers Concrete structures Solution strengthening Deterioration Corrosion Fiber reinforced concretes Fiber reinforced polymers Fiber reinforced plastics Reinforced concrete Reinforcing steels Optimization Wei Yang oth Chun-Qing Li oth Enthalten in ACI structural journal Farmington, Mich. : ACI, 1987 114(2017), 6, Seite 1591-1602 (DE-627)130403415 (DE-600)607622-1 (DE-576)015907082 0889-3241 nnns volume:114 year:2017 number:6 pages:1591-1602 http://dx.doi.org/10.14359/51700834 Volltext https://search.proquest.com/docview/1966008478 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2057 GBV_ILN_2354 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4266 GBV_ILN_4317 56.00 AVZ AR 114 2017 6 1591-1602
allfields_unstemmed	10.14359/51700834 doi PQ20171228 (DE-627)OLC1999378466 (DE-599)GBVOLC1999378466 (PRQ)p578-fd51f1011f7d7b42be1a95d3dd7ebb6759b480f03d52349990c5e028aa9aacc20 (KEY)0158851620170000114000601591optimumstrengtheningstrategyforcorrosionaffectedre DE-627 ger DE-627 rakwb eng 690 DNB 56.00 bkl Hassan Baji verfasserin aut An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure. Preventive maintenance Steel structures Rehabilitation Strategy Genetic algorithms Concrete Structural engineers Concrete structures Solution strengthening Deterioration Corrosion Fiber reinforced concretes Fiber reinforced polymers Fiber reinforced plastics Reinforced concrete Reinforcing steels Optimization Wei Yang oth Chun-Qing Li oth Enthalten in ACI structural journal Farmington, Mich. : ACI, 1987 114(2017), 6, Seite 1591-1602 (DE-627)130403415 (DE-600)607622-1 (DE-576)015907082 0889-3241 nnns volume:114 year:2017 number:6 pages:1591-1602 http://dx.doi.org/10.14359/51700834 Volltext https://search.proquest.com/docview/1966008478 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2057 GBV_ILN_2354 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4266 GBV_ILN_4317 56.00 AVZ AR 114 2017 6 1591-1602
allfieldsGer	10.14359/51700834 doi PQ20171228 (DE-627)OLC1999378466 (DE-599)GBVOLC1999378466 (PRQ)p578-fd51f1011f7d7b42be1a95d3dd7ebb6759b480f03d52349990c5e028aa9aacc20 (KEY)0158851620170000114000601591optimumstrengtheningstrategyforcorrosionaffectedre DE-627 ger DE-627 rakwb eng 690 DNB 56.00 bkl Hassan Baji verfasserin aut An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure. Preventive maintenance Steel structures Rehabilitation Strategy Genetic algorithms Concrete Structural engineers Concrete structures Solution strengthening Deterioration Corrosion Fiber reinforced concretes Fiber reinforced polymers Fiber reinforced plastics Reinforced concrete Reinforcing steels Optimization Wei Yang oth Chun-Qing Li oth Enthalten in ACI structural journal Farmington, Mich. : ACI, 1987 114(2017), 6, Seite 1591-1602 (DE-627)130403415 (DE-600)607622-1 (DE-576)015907082 0889-3241 nnns volume:114 year:2017 number:6 pages:1591-1602 http://dx.doi.org/10.14359/51700834 Volltext https://search.proquest.com/docview/1966008478 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2016 GBV_ILN_2057 GBV_ILN_2354 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4266 GBV_ILN_4317 56.00 AVZ AR 114 2017 6 1591-1602
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language	English
source	Enthalten in ACI structural journal 114(2017), 6, Seite 1591-1602 volume:114 year:2017 number:6 pages:1591-1602
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topic_facet	Preventive maintenance Steel structures Rehabilitation Strategy Genetic algorithms Concrete Structural engineers Concrete structures Solution strengthening Deterioration Corrosion Fiber reinforced concretes Fiber reinforced polymers Fiber reinforced plastics Reinforced concrete Reinforcing steels Optimization
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author	Hassan Baji
spellingShingle	Hassan Baji ddc 690 bkl 56.00 misc Preventive maintenance misc Steel structures misc Rehabilitation misc Strategy misc Genetic algorithms misc Concrete misc Structural engineers misc Concrete structures misc Solution strengthening misc Deterioration misc Corrosion misc Fiber reinforced concretes misc Fiber reinforced polymers misc Fiber reinforced plastics misc Reinforced concrete misc Reinforcing steels misc Optimization An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures
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topic_title	690 DNB 56.00 bkl An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures Preventive maintenance Steel structures Rehabilitation Strategy Genetic algorithms Concrete Structural engineers Concrete structures Solution strengthening Deterioration Corrosion Fiber reinforced concretes Fiber reinforced polymers Fiber reinforced plastics Reinforced concrete Reinforcing steels Optimization
topic	ddc 690 bkl 56.00 misc Preventive maintenance misc Steel structures misc Rehabilitation misc Strategy misc Genetic algorithms misc Concrete misc Structural engineers misc Concrete structures misc Solution strengthening misc Deterioration misc Corrosion misc Fiber reinforced concretes misc Fiber reinforced polymers misc Fiber reinforced plastics misc Reinforced concrete misc Reinforcing steels misc Optimization
topic_unstemmed	ddc 690 bkl 56.00 misc Preventive maintenance misc Steel structures misc Rehabilitation misc Strategy misc Genetic algorithms misc Concrete misc Structural engineers misc Concrete structures misc Solution strengthening misc Deterioration misc Corrosion misc Fiber reinforced concretes misc Fiber reinforced polymers misc Fiber reinforced plastics misc Reinforced concrete misc Reinforcing steels misc Optimization
topic_browse	ddc 690 bkl 56.00 misc Preventive maintenance misc Steel structures misc Rehabilitation misc Strategy misc Genetic algorithms misc Concrete misc Structural engineers misc Concrete structures misc Solution strengthening misc Deterioration misc Corrosion misc Fiber reinforced concretes misc Fiber reinforced polymers misc Fiber reinforced plastics misc Reinforced concrete misc Reinforcing steels misc Optimization
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title	An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures
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title_full	An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures
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title_sort	optimum strengthening strategy for corrosion-affected reinforced concrete structures
title_auth	An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures
abstract	Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure.
abstractGer	Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure.
abstract_unstemmed	Corrosion of reinforcing steel in concrete is the most predominant cause for deterioration of reinforced concrete structures, leading to many premature structural failures. To ensure the safety and serviceability of deteriorated structures, a risk-informed and cost-effective rehabilitation strategy is essential. The intention of the present paper is to develop an optimal strengthening strategy for corrosion-affected reinforced concrete structures strengthened with a widely used fiber-reinforced polymer (FRP) technique. In this strategy, the optimum strengthening time and the degree of strengthening-that is, the number of FRP layers-can be determined. Mathematical formulation of the proposed strategy, which is based on cost optimization, is provided in a generic format. Application of the proposed methodology is presented in a numerical example for a corrosion-affected reinforced concrete girder flexurally strengthened with FRP. The Genetic Algorithm (GA) method is used for finding the optimum solution. It is found in the paper that the proposed strategy can determine the optimum strengthening time and amount of FRP strengthening efficiently. It is also found that the ratio of cost of failure to cost of preventive maintenance governs the optimum time for maintenance action. The paper concludes that the developed strategy can assist structural engineers and asset managers in developing rehabilitation or replacement strategy for deteriorated infrastructure.
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title_short	An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures
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