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首页> 外文期刊>Marine Georesources & Geotechnology >Analysis of resistance factors for LRFD of soil nail pullout limit state using default FHWA load and resistance models
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Analysis of resistance factors for LRFD of soil nail pullout limit state using default FHWA load and resistance models

机译:默认的FHWA负载和电阻模型分析土钉拉出限制状态LRFD的阻力因子

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摘要

Resistance factors for load and resistance factor design (LRFD) of pullout limit state of both permanent and temporary soil nails are calibrated against a wide design space using the current Federal Highway Administration (FHWA) nail load and resistance models. The calculated resistance factors were shown to scatter broadly among design scenarios that differ in wall face batter, soil friction angle, nail ultimate bond strength, and surcharge live load. An important lesson learned from the analysis results is that the current practice of using a single resistance factor for LRFD of nail pullout limit state could not result in uniform reliabilities across different design scenarios. Simple artificial neural network (ANN) models were developed for computation of resistance factors. Design examples demonstrated the ability of the ANN models in providing resistance factors that yield satisfactory and consistent reliabilities in different nail pullout designs.
机译:使用当前的联邦公路管理(FHWA)指甲负载和电阻模型,校准永久和临时土钉的拉伸极限状态的负荷和电阻因子设计(LRFD)的阻力因素校准。 所计算的阻力因子显示在墙面面糊,土壤摩擦角,指甲最终粘合强度和附加费用载有不同的设计场景中分散。 从分析结果中学到的一个重要课程是目前使用指甲拉伸限制状态的LRFD的单个电阻因子的实践不能导致不同设计方案的均匀可靠性。 开发了简单的人工神经网络(ANN)模型用于计算阻力因子。 设计示例展示了ANN模型在提供不同指甲拔出设计中产生令人满意和一致的可靠性的阻力因素的能力。

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