Avinandan Modak

About

I am a doctoral researcher with expertise in multi-scale topology optimization for hierarchical systems specifically, with a particular emphasis on applications in biomechanics. My work focuses on developing robust and efficient computational approaches to tackle complex challenges in the real world. I am dedicated to driving advancements in computational mechanics through innovative algorithms and methodologies, enabling more reliable and impactful engineering solutions. In Addition, I have worked on diverse projects involving uncertainty quantification, metamodeling and phase-field fracture modeling within computational mechanics.

Employment

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Education

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Publications (10)

• An uncertainty-aware robust design framework for fatigue crack growth simulation in lithium-ion batteries
  Engineering Fracture Mechanics 2026 DOI: 10.1016/j.engfracmech.2026.112420
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• A unified fully-automatic patient-specific image to remodeling framework for bone diagnostic simulation
  Computer Methods in Applied Mechanics and Engineering 2026 DOI: 10.1016/j.cma.2026.119025
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• Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel
  Reliability Engineering & System Safety 2026 DOI: 10.1016/j.ress.2025.111508
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• A Unified Fully-Automatic Patient-Specific Image to Remodeling Framework for Bone Diagnostic Simulation
  2026 DOI: 10.2139/ssrn.6277626
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• EPTOniCS: An Efficient and Scalable Framework for Three-Dimensional Elastoplastic Topology Optimization using FEniCSx
  2026 DOI: 10.2139/ssrn.7437705
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• Large-Scale Phase-Field Fracture: An Adaptive Mesh Refinement Enhanced Sparse Polynomial Chaos Expansion Approach for Enhanced Fracture Prediction
  Lecture Notes in Mechanical Engineering 2026 DOI: 10.1007/978-981-95-1723-7_44
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• A multiscale optimization framework for bone remodelling: integrating material and structural adaptations across hierarchical scales
  Journal of the Royal Society Interface 2025 DOI: 10.1098/RSIF.2025.0400
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• UNCERTAINTY-AWARE SURROGATE-ACCELERATED CHEMO-MECHANICAL PHASE-FIELD FRACTURE MODELING OF FATIGUE CRACK GROWTH IN LITHIUM-ION BATTERIES
  ASME International Mechanical Engineering Congress and Exposition Proceedings Imece 2025 DOI: 10.1115/IMECE2025-166464
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• An enhanced learning function for bootstrap polynomial chaos expansion-based enhanced active learning algorithm for reliability analysis of structure
  Structural Safety 2024 DOI: 10.1016/J.STRUSAFE.2024.102467
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• Sparse polynomial chaos expansion and adaptive mesh refinement for enhanced fracture prediction using phase-field method
  Theoretical and Applied Fracture Mechanics 2024 DOI: 10.1016/J.TAFMEC.2024.104639
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