Model accuracy verification results.

<div><p>Reinforced concrete arch bridges are susceptible to non-stationary degradation under combined environmental and load effects, rendering traditional reliability assessments based on stationary assumptions inadequate. To address this gap, this study first derived a reliability calc...

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Opis bibliograficzny
1. autor:	Yue Guo (695495) (author)
Kolejni autorzy:	Zhuo Li (165589) (author), Ke Xie (600650) (author), Yuanpeng Luo (22633834) (author), Ziwei Wang (3344528) (author), Wan Zhao (390898) (author), Zhongchu Tian (22633837) (author)
Wydane:	2025
Hasła przedmiotowe:	Biophysics Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified unimodal &# 8221 site monitoring data shuiluo river bridge scale parametric analysis sample response error robust technical tool obvious &# 8220 lacks direct calibration controlled within 4 analysis conducted using actual structural performance 20 %&# 8211 stationary deterioration laws stationary assumptions inadequate varying reliability curve varying reliability analysis reliability reduction rates reliability distribution across 7 %, respectively stationary degradation scenarios stationary degradation accelerates standard kriging model model reliably fits kriging surrogate model stationary reliability assessment targeted durability protection main arch ring 2 arch ring engineering practical value stationary degradation model 8 %, 97 study first derived stationary degradation 8 %, reliability index reliability evaluation durability design arch springing arch crown engineering optimization engineering case thereby enhancing theoretically consistent study provides results indicate offers guidance numerical simulation load effects key components future research
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Model accuracy verification results.

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