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Advanced Computational Mechanics Lab
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A lab that uses computers to trace the process by which materials and structures fail.
AboutAbout the lab
Foreseeing how things fail through computation
The Advanced Computational Mechanics Lab develops numerical simulation methods for predicting the behavior of structures, fluids, and ground.
It describes with equations how concrete, soil, metals, resins, and materials combining them change under force.
The lab also takes on methods that compute step by step and link the whole sequence, from cracks forming and growing to the failure of an entire structure.
It also develops techniques for presenting computational results clearly, aiming to provide information useful for disaster prevention education and decision-making.
Key terms
- Numerical simulation
- A method of reproducing how objects move or fail by using equations and computer calculation
- Multiscale analysis
- A computational method that solves together, moving back and forth between them, the fine internal structure of a material and the behavior of the whole structure
- Constitutive law
- A mathematical expression of how much a material deforms when force is applied to it
NewsLab news
View More ↗ResearchResearch themes
Combining knowledge of structures, fluids, and ground, the lab develops numerical simulation methods and data analysis techniques. Its research is multifaceted, ranging from predicting the deterioration and failure of structures to creating methods for optimal design.
Understanding material behavior
The lab builds constitutive laws that describe the relationship between force and response for concrete, soil and rock, metals, resins, and composite materials that combine different materials. It also develops multiscale analysis methods that characterize the mechanical behavior of the whole from a microscopic viewpoint.
Tracing the process of failure
Under impact or repeated loading, cracks form inside a structure, grow, and eventually the whole structure collapses. This is a phenomenon that proceeds in stages. The lab is working on a single method that can comprehensively solve each of these stages.
Making disaster data visible
For practical disaster prevention, it is also important to present the results of calculations and surveys in a way suited to the audience. The lab develops 3D visualization techniques and systems that overlay geographic information such as terrain and land use to help grasp relationships.
MembersFaculty
The members of the Advanced Computational Mechanics Lab consist of faculty, researchers, secretaries, doctoral, master's, and undergraduate students, research students, and working-professional doctoral students.As of 2026
- ProfessorKenjiro Terada
- Associate ProfessorSeishiro Matsubara
- Assistant ProfessorSoma Hidano
- Assistant ProfessorYosuke Yamanaka
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Report an errorAbout the images
For images provided to us or used with permission, the source is listed on each line. Wikimedia Commons images are illustrative and were not taken at the lab (they are cropped). Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Sediment Flow Simulation” 東北大学 先進計算力学研究室 / 研究室からの
提供 (cropped) - Understanding material behavior: “Multiscale analysis of composite materials” 東北大学 先進計算力学研究室 / 研究室からの
提供 (cropped) - Tracing the process of failure: “Discrete Fracture Simulation” 東北大学 先進計算力学研究室 / 研究室からの
提供 (cropped) - Making disaster data visible: “Simulation of the Piping Phenomenon” 東北大学 先進計算力学研究室 / 研究室からの
提供 (cropped) - Related lab (Computational Safety Engineering Lab): “US Navy 110318-M-HU778-007 An aerial view of Ishinomaki, Japan, a week after a 9.0 magnitude earthquake and subsequent tsunami devastated the area” U.S. Marine Corps photo by Lance Cpl. Ethan Johnson / Public domain (cropped)
- Related lab (Disaster Geoinformatics Lab): “Mapping flood with Envisat's radar” Envisat satellite / CC BY-SA 3.0 igo (cropped)
- Related lab (Tsunami Engineering Lab): “An aerial view of tsunami damage in an area north of Sendai, Japan, taken from a U.S. Navy helicopter” Mass Communication Specialist 3rd Class Dylan McCord / Public domain (cropped)
- Related lab (Spatial Planning Science Lab): “Aerial view of suburban housing in Blacklick, Ohio, October 2024” Pi. / CC BY-SA 4.0 (cropped)
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