English

An accurate approach to determining the spatiotemporal vehicle load on bridges based on measured boundary slopes

Analysis of PDEs 2025-02-27 v2 Dynamical Systems

Abstract

In this paper, a novel mathematical model is developed to evaluate the spatiotemporal vehicle loads on long bridges from slope measurements made at the ends of a bridge based on Euler-Bernoulli beam model with internal and external damping. The mathematical modelling of this phenomena leads to the inverse source problem of determining the spatiotemporal vehicle load F(x,t)F(x,t) in the variable coefficient Euler-Bernoulli equation ρA(x)utt+μ(x)ut+(r(x)uxx)xx+(κ(x)uxxt)xx=F(x,t)\rho_A(x)u_{tt}+\mu(x) u_{t}+(r(x)u_{xx})_{xx}+(\kappa(x)u_{xxt})_{xx}=F(x,t), (x,t)ΩT:=(0,)×(0,T)(x,t)\in \Omega_T:=(0,\ell)\times (0,T) subject to the "simply supported" boundary conditions u(0,t)=(r(x)uxx+(κ(x)uxxt)x=0=0u(0,t)=(r(x)u_{xx}+(\kappa(x)u_{xxt})_{x=0}=0, u(,t)=(r(x)uxx+(κ(x)uxxt)x==0u(\ell,t)=(r(x)u_{xx}+(\kappa(x)u_{xxt})_{x=\ell}=0, from the both measured outputs: θ1(t):=ux(0,t)\theta_1(t):=u_x(0,t) and θ2(t):=ux(,t)\theta_2(t):=u_x(\ell,t), that is, the measured boundary slopes. It is shown that the input-output maps (ΦF)(t):=ux(0,t;F)(\Phi F)(t):=u_x(0,t;F), (ΨF)(t):=ux(,t;F)(\Psi F)(t):=u_x(\ell,t;F), FFL2(ΩT)F \in \mathcal{F}\subset L^2(\Omega_T), corresponding to the inverse problem, are compact and Lipschitz continuous. Then Tikhonov functional J(F)=ΦFθ1L2(0,T)2+ΨFθ2L2(0,T)2J(F)=\Vert \Phi F-\theta_1 \Vert_{L^2(0,T)}^2+\Vert \Psi F-\theta_2 \Vert_{L^2(0,T)}^2 is introduced to prove the existence of a quasi-solution to the inverse problem. An explicit gradient formula for the Fr\'{e}chet derivative of the Tikhonov functional is derived. The Lipschitz continuity of the Fr\'{e}chet gradient, which guarantees the monotonicity of iterations in gradient methods, has been proven.

Keywords

Cite

@article{arxiv.2412.20778,
  title  = {An accurate approach to determining the spatiotemporal vehicle load on bridges based on measured boundary slopes},
  author = {Alemdar Hasanov and Onur Baysal},
  journal= {arXiv preprint arXiv:2412.20778},
  year   = {2025}
}