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- W4293069236 abstract "The modular construction approach is capable of increasing the speed at which buildings are constructed. To accomplish this, the designers and practitioners front-load these modules with a broad range of features to reduce the amount of on-site construction work required. Consequently, the modules have become heavier over time, which has led to an increase in the amount of on-site crane work and the resources required on-site for the safe installation of these modules. One of the main safety concerns is whether the ground support has the capacity to hold and stabilize these heavy cranes with a dynamic payload. Crane mats are often employed to offer ground support in the case of poor soil bearing capacity, avoiding ground failure that may result in crane collapse. Due to the increased usage of crane mats, there has been a subsequent increase in the demand on the practitioner’s time to prepare mat layout plans and/or drawings for the construction site. To reduce the amount of time required, the present study provides a novel automated mat layout optimization algorithm as an application that can develop mat layout plans taking into account mat laying constraints. An agent-based optimization approach is applied such that the maximum area is covered using a minimum number of mats, avoiding overlapping, and mats are placed starting from one edge of the area as required (payload pick and/or setting point). The results indicate that the practitioner’s time to prepare the mat layout plans/drawings using the developed optimization application can be reduced significantly (90%)." @default.
- W4293069236 created "2022-08-26" @default.
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- W4293069236 date "2022-05-30" @default.
- W4293069236 modified "2023-09-30" @default.
- W4293069236 title "An Automated Approach to Generating Optimized Crane Mat Layout Plans" @default.
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- W4293069236 doi "https://doi.org/10.1007/978-981-19-1029-6_8" @default.
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