Enrique del Castillo Download

Enrique M. del Castillo

Assistant Professor,  Civil and Environmental Engineering

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Research Focus

Computational geomechanics; granular materials and flows; failure and fracture in natural and engineered materials; geohazards impacting infrastructure resilience

About

Joins the Northeastern University Civil and Environmental Engineering department on July 1, 2026.

Education

  • PhD, Civil Engineering, Geomechanics, Stanford University, 2025
  • MS, Civil Engineering, Geomechanics, Stanford University, 2021
  • AB, Geosciences, Princeton University, 2019

Research Overview

Computational geomechanics; granular materials and flows; failure and fracture in natural and engineered materials; geohazards impacting infrastructure resilience

Localization and failure in granular materials; computational fracture mechanics; advanced computational and numerical methods in mechanics; meshfree methods; phase-field methods; mechanics of granular and soft materials; geohazards and Earth-surface processes; tectonics and crustal deformation; infrastructure resilience

Department Research Areas

Selected Publications

  • E. M. del Castillo, A. H. Favero Neto, & R. I. Borja. (2024) Fault rupture through stratied sand-clay deposits and engineered earth structures: a meshfree and critical-state modeling approach. Acta Geotechnica. https://doi.org/10.1007/s11440-024-02421-w.
  • E. M. del Castillo, J. Geng, & R. I. Borja. (2024) A nonlocal kernel-based continuum damage model for compaction band formation in porous sedimentary rock. Computational Mechanics. https: //doi.org/10.1007/s00466-024-02540-x.
  • E. M. del Castillo, A. H. Favero Neto, J. Geng, & R. I. Borja. (2024) An SPH framework for drained and undrained loading over large deformations. International Journal for Numerical and Analytical Methods in Geomechanics. 48(12), 3227-3257. https://doi.org/10.1002/nag.3790.
  • E. M. del Castillo, B. Ferdowsi, A. Rubin, & B. Schoene. (2023) Strain localization patterns and thrust propagation in 3-D discrete element method (DEM) models of accretionary wedges. Tectonics. 42(8), e2022TC007707. https://doi.org/10.1029/2022TC007707..