Multisection Optimization–Based Target Proof Load Determination Method for Bridge Load TestingSource: Journal of Bridge Engineering:;2023:;Volume ( 028 ):;issue: 006::page 04023025-1DOI: 10.1061/JBENF2.BEENG-6073Publisher: ASCE
Abstract: Load testing provides a useful alternative for cases in which current calculation or inspection methods cannot provide satisfactory answers to performance questions about an existing bridge. When determining the target proof load for long-span bridges during the proof load test, to ensure that all target control sections produce the same load effect with design live load, it is usually necessary to design independent load cases with different truck locations for each control section, which greatly increases the implementation cost of load testing. To solve this problem, this paper proposes a multisection optimization–based, target proof load determination method. First, the load cases are determined through control section classification, and the location of the peak of the influence surface is applied as classification criteria. Second, the load efficiency objective functions that are aimed at optimizing the truck-induced internal forces or deformation are constructed. Last, the number, positions, and formation of the load trucks for each load case are determined by a multisection joint optimization method. The effectiveness of the proposed method is shown by a target proof load determination example of a long-span arch bridge at the end of the paper. The proposed method can identify the minimum number of trucks and load cases that simultaneously meets the live load equivalent requirements of all control sections, which significantly reduces the proof load application cost of load testing.
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contributor author | Xu Zheng | |
contributor author | Ting-Hua Yi | |
contributor author | Dong-Hui Yang | |
contributor author | Hong-Nan Li | |
date accessioned | 2023-11-27T23:08:56Z | |
date available | 2023-11-27T23:08:56Z | |
date issued | 3/28/2023 12:00:00 AM | |
date issued | 2023-03-28 | |
identifier other | JBENF2.BEENG-6073.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4293330 | |
description abstract | Load testing provides a useful alternative for cases in which current calculation or inspection methods cannot provide satisfactory answers to performance questions about an existing bridge. When determining the target proof load for long-span bridges during the proof load test, to ensure that all target control sections produce the same load effect with design live load, it is usually necessary to design independent load cases with different truck locations for each control section, which greatly increases the implementation cost of load testing. To solve this problem, this paper proposes a multisection optimization–based, target proof load determination method. First, the load cases are determined through control section classification, and the location of the peak of the influence surface is applied as classification criteria. Second, the load efficiency objective functions that are aimed at optimizing the truck-induced internal forces or deformation are constructed. Last, the number, positions, and formation of the load trucks for each load case are determined by a multisection joint optimization method. The effectiveness of the proposed method is shown by a target proof load determination example of a long-span arch bridge at the end of the paper. The proposed method can identify the minimum number of trucks and load cases that simultaneously meets the live load equivalent requirements of all control sections, which significantly reduces the proof load application cost of load testing. | |
publisher | ASCE | |
title | Multisection Optimization–Based Target Proof Load Determination Method for Bridge Load Testing | |
type | Journal Article | |
journal volume | 28 | |
journal issue | 6 | |
journal title | Journal of Bridge Engineering | |
identifier doi | 10.1061/JBENF2.BEENG-6073 | |
journal fristpage | 04023025-1 | |
journal lastpage | 04023025-9 | |
page | 9 | |
tree | Journal of Bridge Engineering:;2023:;Volume ( 028 ):;issue: 006 | |
contenttype | Fulltext |