The structural design of arch roofs or bridges requires the analysis of their unstable behaviors depending on certain parameters defined in the arch shape. Their maintenance should estimate the parameters from observed data. However, since the critical parameters exist in the equilibrium paths of the arch, and a small change in such the parameters causes a significant change in their behaviors. Thus, estimation to find the critical ones should be carried out using a global search algorithm. In this paper we study the parameter estimation for a shallow arch by a quantum-inspired evolution algorithm. A cost functional to estimate the system parameters included in the arch consists of the difference between the observed signal and the estimated signal of the arch system. The design variables are shape, external load and damping constant in the arch system. We provide theoretical and numerical examples for estimation of the parameters from both contaminated data and pure data.

Abstract
1. 서론
2. 아치의 파라미터 추정 모델
3. QEA 탐색 기법
    3.1 Q-bit와 Q-gate
    3.2 QEA의 연산 구조
    3.3 개체군의 확률 평균과 수렴도
4. 해석 예제
    4.1 해석 예제 A
    4.2 해석 예제 B
    4.3 해석 예제 C
    4.4 해석 결과 비교
5. 결론
References

• 손수덕(한국기술교육대학교 건축공학과) | Shon Sudeok (Dept. of Architectural Engineering, Koreatech)
• 하준홍(한국기술교육대학교 교양학부) | Ha Junhong (School of Liberal Arts, Koreatech) 교신저자