CUSATIS
COMPUTATIONAL
SERVICES
COMPUTATIONAL MECHANICS & STRUCTURAL MODELING
ABOUT
Cusatis Computational Services (CCS) Inc. stands at the forefront of computational mechanics, specializing in the development of advanced software tools for structural modeling and analysis. Our expertise is in crafting unique software solutions for modeling one-of-a-kind structural elements that surpass the limitations of standard design codes.
We leverage state-of-the-art computational methods and software packages to develop models that accurately simulate the response of structures to blast impacts, focusing on complex geometries and nonlinear mechanical behaviors. Our tools are essential for clients needing to assess structures subjected to extreme conditions.
CCS also excels in the field of material degradation, where we create multiphysics and multiscale models that forecast the progression of deterioration and its impact on structural integrity. These models are invaluable for understanding and mitigating the effects of material wear over time.
In addition to technical modeling, we provide tools to investigate structural failures and distress, helping to pinpoint causes and formulate optimal solutions for our clients. Our forensic analysis services delve deep into structural issues to uncover root causes and guide effective interventions.
Pioneering the integration of cutting-edge technologies like AI, machine learning, and quantum computing into our modeling processes, CCS enhances our ability to handle intricate and challenging scenarios in structural engineering. Through a blend of scientific precision and practical application, we deliver innovative, reliable solutions tailored to the real-world challenges faced by our clients.
Gianluca Cusatis, PhD
Gianluca Cusatis is a structural engineering researcher and professor of civil engineering with 20+ years of experience in the field of computational mechanics of infrastructure materials and concrete structures. He obtained his undergraduate and PhD degrees from Politecnico di Milano (Italy). He has been a faculty member at Rensselaer Polytechnic Institute first and at Northwestern University.
He teaches courses of the structural engineering curriculum and is a recognized expert in experimental, computational and applied mechanics, with emphasis on concrete, reinforced concrete, composite materials, and geomaterials. His work on constitutive modeling of concrete through the adoption of the so-called Lattice Discrete Particle Model (LDPM), one of the most accurate and reliable approaches to simulate failure of materials experiencing strain-softening, is known worldwide.
Matthew Troemner, PhD
Matthew Troemner graduated with a PhD in Civil and Environmental Engineering in the Mechanics of Quasi-Brittle Materials Research Group at Northwestern University. Prior to joining Northwestern, Matthew received a Master of Engineering in Structural Engineering and a Bachelor of Science in Architectural Engineering from the Illinois Institute of Technology.
Matthew’s current research emphases are on multi-scale and multi-physics computational mechanics, and large-scale 3D-printing of infrastructure materials. He has significant experience with scripting and compiled languages including Python, Fortran, and C++, as well as implementation of self-built and commercial computational tools on distributed high performance industry and defense platforms.
Susan Alexis Brown, PhD
Susan-Alexis Brown recently graduated with a PhD in Civil and Environmental Engineering from Northwestern University, during which her studies focused on the long-term deformations of wood. Susan-Alexis previously received a Master of Engineering in Structural Engineering from Northwestern, as well as a Bachelor of Engineering in Civil Engineering from the University of Southern California and a Bachelor of Science in Physics from Gordon College.
Susan-Alexis' current research considers the long-term mechanics of structural materials in general, with a focus on mass timber durability in particular. She has diverse experience in constitutive modeling at both the meso- and macroscale, with emphasis on structural design applications.
Jibril B. Coulibaly, PhD
Jibril B. Coulibaly is a researcher in engineering mechanics. He received a PhD in Mechanical Engineering from Université Grenoble-Alpes (France) and was a post-doctoral appointee at Sandia National Laboratories.
Jibril's research portfolio lies at the intersection of solid mechanics and software development. He focuses on constitutive modeling of complex (soft, granular, and geo) materials and computational methods (FEM, MD, meshless) for HPC production codes.
SERVICES
Preconstruction Planning
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Architectural
Modelling
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Construction
Management
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SERVICES
Forensic Analysis Tools
We create tools to investigate structural failures and cases of structural distress to identify the causes and to help our clients formulate the optimal solution.
Structural Elements
We have expertise in the design of software tools for modeling unusual, one-of-a-kind structural elements that require analyses beyond the limits of standard design codes.
Computational Modeling of Blast Effects
We use state-of-art computational methods and software packages to help clients assess the behavior of structures subjected to blasts.
Development of Complex Models
We support analysis and design projects by developing computational models that involve complex geometries and nonlinear mechanical behavior.
Structural and Material
Degradation Simulations
We develop tools for structures affected by material deterioration via multiphysics multiscale models to predict the future evolution of the deterioration and its effect on the structural performance
Advanced Technologies
We pioneer the integration of advanced technologies, such as AI, ML, and quantum computing into our material models, enhancing our capability to handle complex geometries and nonlinear behavior.
CONTACT
Inquiries
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