Seminar Details
2024-04-30 (14h) : Optimization of bridge projects for rivers subject to high geomorphic risk
At Euler building (room A.002)
Organized by Mathematical Engineering
Speaker :
Hervé Capart (National Taiwan University)
Abstract :
In montane valleys, bridges may be exposed to significant risks of failure due to flood-induced river bed changes and debris fan aggradation. To mitigate these risks in a cost-effective way, we are experimenting with a methodology based on stochastic dynamic programming. An expected lifecycle cost is defined, taking into account the construction cost of the first bridge as well as the time-discounted costs of future bridge reconstructions in case of failure. To determine the timing of the next failure, a Markovian stochastic model of river and fan evolution is used. The objective function can then be recast as a recurrence, and discretized to determine optimal design policies and routes. The approach will be illustrated by examples from the Laonong River valley, southwestern Taiwan.