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Kaiken Bolanhan on Muck Rack

Kaiken Bolanhan

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Articles

A surrogate-driven optimization framework for thermal parameter inversion in hydraulic concrete structures

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By Mingyuan Zhu, Chongshi Gu, Fuqiang Zhou, Yichen Yu, Kaiken Bolanhan, Aimaiti Aernaguli
| Nature Verified
Abstract Thermal parameters are key inputs for numerical thermal analysis of hydraulic concrete structures. Under long-term service conditions, however, these parameters may progressively deviate from their design values because of environmental exposure, material deterioration, and complex operational loads, thereby reducing the accuracy of temperature field simulation and structural safety assessment.
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