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...
Ausführliche Beschreibung
Autor*in: |
Hassan Baji [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
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2017 |
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Übergeordnetes Werk: |
Enthalten in: ACI structural journal - Farmington, Mich. : ACI, 1987, 114(2017), 6, Seite 1591-1602 |
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Übergeordnetes Werk: |
volume:114 ; year:2017 ; number:6 ; pages:1591-1602 |
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DOI / URN: |
10.14359/51700834 |
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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 | |
700 | 0 | |a Wei Yang |4 oth | |
700 | 0 | |a Chun-Qing Li |4 oth | |
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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 |
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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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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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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 |
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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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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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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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optimum strengthening strategy for corrosion-affected reinforced concrete structures |
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An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures |
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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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An Optimum Strengthening Strategy for Corrosion-Affected Reinforced Concrete Structures |
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