极端波浪作用下深水浮桥结构失效概率主动学习方法  

Active Learning Method of Structural Failure Probability of Deep-water Floating Bridge Under Extreme Wave Loadings

作　　者：柏晓东 凡子豪 郭安薪[2] 向升 高永新 傅阳 薛业梦 BAI Xiao-dong;FAN Zi-hao;GUO An-xin;XIANG Sheng;GAO Yong-xin;FU Yang;XUE Ye-meng(College of Civil Engineering,Hefei University of Technology,Hefei 230009,Anhui,China;School of Civil Engineering,Harbin Institute of Technology,Harbin 150001,Heilongjiang,China;School of Naval Architecture,Ocean and Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]合肥工业大学土木与水利工程学院,安徽合肥230009 [2]哈尔滨工业大学土木工程学院,黑龙江哈尔滨150001 [3]上海交通大学船舶海洋与建筑工程学院,上海200240

出　　处：《中国公路学报》2025年第2期23-32,共10页China Journal of Highway and Transport

基　　金：国家自然科学基金项目(51809084);中央高校基本科研业务费专项资金项目(JZ2022HGTB0237)。

摘　　要：为响应国家综合立体交通战略需求,中国多个沿海跨海湾、连岛桥梁工程正处于建造、设计和规划中,深水浮式桥梁作为其潜在技术方案受到广泛关注。极端波浪荷载下深水浮桥结构失效概率分析对其概念性设计具有重要意义。为此,首先基于最新发展的适用于估算窄带随机波浪作用下浮体结构极端响应的主动学习方法,构建深水浮桥结构失效概率计算框架;随后以深水浮桥节段为研究对象,建立动力学分析模型;最后,基于主动学习方法探索不同失效模式(基于位移和张力腿张力)、不同失效阈值下的浮桥结构失效概率主动学习规律,得到相应的预测结果。研究结果表明:主动学习方法仅需少量样本即可获取浮桥结构失效概率预测的收敛结果,计算成本较小;该主动学习方法对基于单一目标(位移)和多目标(张力腿张力)的失效模式均适用;对于所研究的浮桥结构,百年一遇海况条件下,基于跨中位移的结构失效概率在失效阈值比w_(S)/w_(B)=2.2时为2.5%,基于张力腿张力的结构失效概率在失效阈值比F_(S)/F_(B)=2.5时为1.3%。研究相关成果有望为深水浮桥可行性研究、结构设计、防灾减灾及防护等相关技术提供快速计算方法和理论依据。Recent national strategies for developing comprehensive multidimensional transportation systems in China have prompted bridge construction projects to connect islands and crossing straits along the coast.Deepwater floating bridges have attracted considerable attention as potential technical solutions.Analyzing the structural failure probability of deep-water floating bridges under extreme wave loads is important for conceptual design.Accordingly,a computational framework was established in this study for estimating the extreme response and structural failure probabilities of floating structures under narrow-banded random waves using an active learning approach.A deep-water floating bridge segment finite element model was developed for the dynamic analysis.Active learning was employed to examine failure probability learning patterns under various failure modes based on displacement and tension leg forces with different thresholds,and finally obtain failure probability predictions.The active learning method requires only limited samples to achieve convergent failure probability predictions,requiring a low computational cost.The active learning framework was applied to both the single-and multi-objective failure criteria.For the floating bridge studied,under random waves with a return period of 100 years,the failure probability based on the midspan displacement was 2.5%at the threshold ratios of w_(S)/w_(B)=2.2 and 1.3%based on the tension leg force at the threshold ratio of F_(S)/F_(B)=2.5.These rapid computational failure probability estimates can provide information for feasibility assessments,designs,disaster prevention,and protection technologies for future deepwater floating bridge projects.

关 键 词：桥梁工程 浮桥 结构失效概率 主动学习 水动力 动力响应 

分 类 号：U44[建筑科学—桥梁与隧道工程]