Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …

The aim of this paper is to investigate and predict the rutting depth of asphalt concrete
containing Reclaimed Asphalt Pavement (RAP) content by the data-driven approach with …

Cooling load refers to the amount of energy to be removed from a space (or consumed) to
bring that space to an acceptable temperature or to maintain the temperature of a space at …

Material properties, geometrical dimensions, and environmental conditions can greatly
influence the characteristics of bistable composite laminates. In the current work, to …

Fly ash–slag geopolymer concrete is an intangible material that does not use conventional
Portland cement, thereby reducing CO2 emissions into the environment, and helping to …

Metaheuristic optimization techniques are widely applied in the optimal design of structural
members. This paper presents the application of the harmony search algorithm to the …

The optimal design of prestressed concrete cylindrical walls is greatly beneficial for
economic and environmental impact. However, the lack of the available big enough datasets …

This paper presents a study on the probabilistic-based design of a gravity retaining wall
under seismic condition. Mononobe-Okabe equations are used to compute dynamic earth …

Abstract Machine learning (ML) is one of the methods used by the artificial intelligence
approach. Machine learning is used to teach machines how to handle data more efficiently …

Rock strength, specifically the uniaxial compressive strength (UCS), is a critical parameter
mostly used in the effective and sustainable design of tunnels and other engineering …