Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms
The ground vibration caused by rock blasting is an extremely hazardous outcome of the
blasting operation. Blasting activity has detrimental effects on both the ecology and the …
blasting operation. Blasting activity has detrimental effects on both the ecology and the …
Combined influence of modified recycled concrete aggregate and metakaolin on high-strength concrete production: Experimental assessment and machine learning …
This article examines the advantages of adding metakaolin (MK) as a mineral additive to
concrete mixes with varied amounts of modified recycled concrete aggregate (MRCA) …
concrete mixes with varied amounts of modified recycled concrete aggregate (MRCA) …
Enhancing engineering optimization using hybrid sine cosine algorithm with Roulette wheel selection and opposition-based learning
Meta-heuristic algorithms distinguish themselves from conventional optimization methods
owing to their intrinsic adaptability and straightforward implementation. Among them, the …
owing to their intrinsic adaptability and straightforward implementation. Among them, the …
[HTML][HTML] Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses
Ultra-high-performance concrete (UHPC) is a cutting-edge and advanced construction
material known for its exceptional mechanical properties and durability. Recently, machine …
material known for its exceptional mechanical properties and durability. Recently, machine …
[HTML][HTML] BIM integration with XAI using LIME and MOO for automated green building energy performance analysis
Achieving sustainable green building design is essential to reducing our environmental
impact and enhancing energy efficiency. Traditional methods often depend heavily on …
impact and enhancing energy efficiency. Traditional methods often depend heavily on …
[HTML][HTML] Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric …
The construction industry is making efforts to reduce the environmental impact of cement
production in concrete by incorporating alternative and supplementary cementitious …
production in concrete by incorporating alternative and supplementary cementitious …
Quantifying compressive strength in limestone powder incorporated concrete with incorporating various machine learning algorithms with SHAP analysis
M Mishra - Asian Journal of Civil Engineering, 2024 - Springer
The use of waste and recycled materials in concrete is one potential solution to lessen the
impact of environmental problems from the concrete industry. The purpose of this work is to …
impact of environmental problems from the concrete industry. The purpose of this work is to …
Mean block size prediction in rock blast fragmentation using TPE-tree-based model approach with SHapley Additive exPlanations
The optimum fragmentation size measures the quality of a blasting operation. Boulders or
large fragments can result in more costs because they need secondary blasting, while small …
large fragments can result in more costs because they need secondary blasting, while small …
[HTML][HTML] Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining
The vibrations generated by rock blasting are a serious and hazardous outcome of these
activities, causing harmful effects on the surrounding environment as well as the nearby …
activities, causing harmful effects on the surrounding environment as well as the nearby …
A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis
The precise prediction of construction costs during the initial phase of a construction project
is crucial for ensuring the project's success. Identifying the parameters that influence project …
is crucial for ensuring the project's success. Identifying the parameters that influence project …