Determining ultimate bearing capacity of shallow foundations using a genetic programming system
Determining ultimate bearing capacity of shallow foundations using a genetic programming system
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DOI：
10.1007/s00521-012-1150-8
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发表时间：
2012-09
影响因子：
6
通讯作者：
Hsing-Chih Tsai;Y. Tyan;Yun-Wu Wu-Yun-Wu-Wu-2108410717;Yong-Huang Lin
中科院分区：
文献类型：
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作者：
Hsing-Chih Tsai;Y. Tyan;Yun-Wu Wu-Yun-Wu-Wu-2108410717;Yong-Huang Lin
建立了三种确定浅基础极限承载力的遗传规划模型。所提出的遗传规划系统(GPS)包括遗传规划(GP)、加权遗传规划(WGP)和软计算多项式(SCP)，同时提供准确的预测和可视化的公式。对GP和WGP进行了一些改进。SCP的设计也是为了用多项式来模拟浅基础的极限承载力。无粘性土上浅基础的室内试验采用剪切阻力角、土的容重等参数，基础的几何形状考虑深度、宽度和长度来确定极限承载力。分析结果表明，所有的GPS模型都具有较好的预测精度。GPS模型的可视化公式也便于参数研究、灵敏度分析和修剪技术的应用。值得注意的是，SCP给出了极限承载能力的简明表示，并确定了重要参数。虽然抗剪角度对极限承载力的影响最大，但基础的宽度和深度也是很重要的。
Three genetic programming models are developed for determining the ultimate bearing capacity of shallow foundations. The proposed genetic programming system (GPS), which comprises genetic programming (GP), weighted genetic programming (WGP), and soft-computing polynomials (SCP), simultaneously provides accurate prediction and visible formulas. Some improvements are achieved for GP and WGP. The SCP is also designed to model the ultimate bearing capacity of shallow foundations with polynomials. Laboratory experimental tests of shallow foundations on cohesionless soils are used with parameters of the angle of shearing resistance, the unit weight of the soil, and the geometry of a foundation considers depth, width, and length to determine the ultimate bearing capacity. Analytical results confirm that all GPS models perform well with acceptable prediction accuracy. Visible formulas of GPS models also facilitate parameter studies, sensitivity analysis, and application of pruning techniques. Notably, SCP gives concise representations for the ultimate bearing capacity and identifies the significant parameters. Although shear resistance angles have the largest impact on ultimate bearing capacity, foundation width and depth are also significant.