Data and knowledge mining with big data towards smart production
Driven by the innovative improvement of information and communication technologies
(ICTs) and their applications into manufacturing industry, the big data era in manufacturing is …
(ICTs) and their applications into manufacturing industry, the big data era in manufacturing is …
[HTML][HTML] Sustainable cement replacement using waste eggshells: A review on mechanical properties of eggshell concrete and strength prediction using artificial neural …
Abstract Though the European Commission classifies eggshell as a hazardous material,
using eggshell powder in place of cement can aid in waste reduction and contribute to …
using eggshell powder in place of cement can aid in waste reduction and contribute to …
Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia
Urbanization and population growth have resulted in a significant increase in the amount of
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method
Geopolymer concrete (GPC) could be used as an environmental-friendly alternative solution
for concrete production due to the detrimental impacts of cement production on the …
for concrete production due to the detrimental impacts of cement production on the …
Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm
During the past decade, solving complex optimization problems with metaheuristic
algorithms has received considerable attention among practitioners and researchers …
algorithms has received considerable attention among practitioners and researchers …
Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method
Geopolymer concrete (GPC), usually produced via the activation of the cementitious nature
of industrial by-products (IBPs) such as ground granulated blast furnace slag (GGBFS) and …
of industrial by-products (IBPs) such as ground granulated blast furnace slag (GGBFS) and …
Develo** a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill
To test the impact of different mixture ratios on backfilling strength in Fankou lead–zinc mine,
various mixture ratio designs have been conducted. Meanwhile, to improve the strength of …
various mixture ratio designs have been conducted. Meanwhile, to improve the strength of …
Production scheduling of off-site prefabricated construction components considering sequence dependent due dates
The growing environmental concerns, excessive utilization of natural resources, and high
energy consumption have put a severe pressure on the construction industry to adopt new …
energy consumption have put a severe pressure on the construction industry to adopt new …
The prediction analysis of compressive strength and electrical resistivity of environmentally friendly concrete incorporating natural zeolite using artificial neural network
To decrease the environmental and climatic effects of rising concrete consumption, more
environmentally friendly concretes are required. One approach to achieve this goal is using …
environmentally friendly concretes are required. One approach to achieve this goal is using …