Aiming at the problems of insufficient feature extraction, low prediction accuracy and
sensitivity to noise in the cooling load prediction, a hybrid model named WTD–CNN–LSTM …

In actual engineering scenarios of arch dams, the incompleteness and nonstationarity of
dynamic monitoring signals limit the accurate cognition of the health state. The effectiveness …

Many wave energy conversion applications require future knowledge or forecasting of the
wave excitation force values. Most wave energy converter (WEC) control strategies need to …

For the various engineering structures with non-probabilistic uncertain parameters, the
ellipsoid modeling is a momentous analysis method considering parameter cross …

The article focuses on evaluating a transportation experiment that intends to improve road
safety by analyzing transport shocks that significantly affect the system of securing the load …

The natural gas pipeline networks play a vital role in Integrated Energy System (IES).
Simultaneously, with the increase in the number and types of users, the operational model …

An open channel flume with a central 180-degree bend with a rigid bed is designed to
obtain a better understanding of the complex flow pattern around a T-shaped spur dike …

In this paper, two groups of datasets including Froehlich (1988) and USGS were
implemented to simulate scour depth for bridge piers of three shapes (circular, sharp-nose …

大数据及人工智能技术的崛起推动了数智流体力学的快速发展. 数智流体力学是将流体力学,
大数据和人工智能相结合, 以流体力学场景需求为导向, 形成以“数” 为基础, 以“智” 为核心 …

Estimation of bridge backwater has been one of practical challenges in hydraulic
engineering for decades. In this study, Genetic Programming (GP) has been applied for …