조선호 교수
Seon Ho Cho
서울대학교 조선해양공학과 · 공학
연구실 소개
조선호 교수의 연구실은 열전도 및 비선형 동역학 문제를 대상으로 한 최적화 설계 기법을 핵심으로 하며, 레벨셋 기반의 형상 최적화와 연속체 기반의 설계 민감도 분석을 융합한 혁신적인 해법을 개발하고 있습니다. 특히 충돌 내구성 설계, 전도 열전달 최적화, 파워트레인 마운팅 시스템의 동역학적 분리 최적화 등 실제 공학 응용에 초점을 맞추고 있으며, 비선형 거동과 복잡한 경계 조건을 고려한 정밀한 수치 해석 기법을 개발하고 있습니다. 연구는 유한요소 해석과 최적화 알고리즘을 기반으로 하여 실용적이고 안정적인 설계 도구의 구현을 목표로 합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Under various concentration conditions of reducing agents during the green synthesis of gold nanoparticles (AuNPs), we obtain the various geometry (morphology and size) of AuNPs that play a crucial role in their catalytic properties. Through both theoretical and experimental approaches, we studied the relationship between the concentration of reducing agent (caffeic acid) and the geometry of AuNPs. As the concentration of caffeic acid increases, the sizes of AuNPs were decreased due to the adsor
ABSTRACT A topological shape optimization method for heat conduction problems is developed using a level set method. The level set function obtained from the “Hamilton-Jacobi type” equation is embedded into a fixed initial domain to implicitly represent thermal boundaries and obtain the finite-element response and adjoint sensitivity. The developed method minimizes the thermal compliance, satisfying the constraint of allowable volume by varying the implicit boundary. During optimization, the bou
A continuum-based sizing design sensitivity analysis (DSA) method is presented for the transient dynamic response of non-linear structural systems with elastic–plastic material and large deformation. The methodology is aimed for applications in non-linear dynamic problems, such as crashworthiness design. The first-order variations of the energy forms, load form, and kinematic and structural responses with respect to sizing design variables are derived. To obtain design sensitivities, the direct
A level set–based topological shape optimization method considering design-dependent convection boundaries is developed for steady-state heat conduction problems. We embed the level set function obtained from a Hamilton-Jacobi type of equation into a fixed initial domain to implicitly represent thermal boundaries. The effects of the implicit convection boundary obtained from topological shape variations are represented by numerical Dirac delta and Heaviside functions. The method minimizes the th
Abstract A level set-based topological shape-optimization method is developed to relieve the well-known convergence difficulty in nonlinear heat-conduction problems. While minimizing the objective function of instantaneous thermal compliance and satisfying the constraint of allowable volume, the solution of the Hamilton–Jacobi equation leads the initial implicit boundary to an optimal one according to the normal velocity determined from the descent direction of the Lagrangian. Topological deriva
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