activity
20152025
most citedGeneralized linear sampling method for elastic-wave sensing of heterogeneous fractures

29 citations · 83 across the 15 of their papers we have counts for

collaborators

17 papers

math.NA2025

Deep regularization networks for inverse problems with noisy operators

Fatemeh Pourahmadian, Yang Xu

A supervised learning approach is proposed for regularization of large inverse problems where the main operator is built from noisy data. This is germane to superresolution imaging…

eess.SP2024

Laser Ultrasonic Imaging via the Time Domain Linear Sampling Method

Jian Song, Fatemeh Pourahmadian, Todd W. Murray +1

This study investigates the imaging ability of the time-domain linear sampling method (TLSM) when applied to laser ultrasonic (LU) tomography of subsurface defects from limited-ape…

eess.SP2024

Network scaling and scale-driven loss balancing for intelligent poroelastography

Yang Xu, Fatemeh Pourahmadian

A deep learning framework is developed for multiscale characterization of poroelastic media from full waveform data which is known as poroelastography. Special attention is paid to…

math.NA2024

Ensemble WSINDy for Data Driven Discovery of Governing Equations from Laser-based Full-field Measurements

Abigail C. Schmid, Alireza Doostan, Fatemeh Pourahmadian

This work leverages laser vibrometry and the weak form of the sparse identification of nonlinear dynamics (WSINDy) for partial differential equations to learn macroscale governing…

cs.CE2024★ 4 cited

Micropolar elastoplasticity using a fast Fourier transform-based solver

Noah M. Francis, Ricardo A. Lebensohn, Fatemeh Pourahmadian +1

This work presents a micromechanical spectral formulation for obtaining the full-field and homogenized response of elastoplastic micropolar composites. A closed-form radial-return…

math.NA2023★ 12 cited

Deep learning for full-field ultrasonic characterization

Yang Xu, Fatemeh Pourahmadian, Jian Song +1

This study takes advantage of recent advances in machine learning to establish a physics-based data analytic platform for distributed reconstruction of mechanical properties in lay…

math.AP2022★ 1 cited

Ultrasonic imaging in highly heterogeneous backgrounds

Fatemeh Pourahmadian, Houssem Haddar

This work formally investigates the differential evolution indicators as a tool for ultrasonic tracking of elastic transformation and fracturing in randomly heterogeneous solids. W…

math.NA2022★ 2 cited

Time- vs. frequency- domain inverse elastic scattering: Theory and experiment

Xiaoli Liu, Jian Song, Fatemeh Pourahmadian +1

This study formally adapts the time-domain linear sampling method (TLSM) for ultrasonic imaging of stationary and evolving fractures in safety-critical components. The TLSM indicat…

math.NA2021★ 4 cited

Poroelastic near-field inverse scattering

Fatemeh Pourahmadian, Kevish Napal

A multiphysics data analytic platform is established for imaging poroelastic interfaces of finite permeability (e.g., hydraulic fractures) from elastic waveforms and/or acoustic po…

physics.app-ph2020★ 10 cited

Laboratory application of sampling approaches to inverse scattering

Fatemeh Pourahmadian, Hao Yue

This study presents an experimental investigation of the recently established generalized linear sampling method (GLSM) for non-destructive evaluation of damage in elastic material…

physics.app-ph2020★ 7 cited

Experimental validation of differential evolution indicators for ultrasonic imaging in unknown backgrounds

Fatemeh Pourahmadian

The differential evolution indicators, recently introduced for imaging mechanical evolution in highly scattering solids, is examined in a laboratory setting with the focus on spati…

math.NA2019

Differential tomography of micromechanical evolution in elastic materials of unknown micro/macrostructure

Fatemeh Pourahmadian, Houssem Haddar

Differential evolution indicators are introduced for 3D spatiotemporal imaging of micromechanical processes in complex materials where progressive variations due to manufacturing a…

math.NA2018

Real-time imaging of interfacial damage in layered composites

Fatemeh Pourahmadian, Irene de Teresa

A theoretical platform is developed for active elastic-wave sensing of (stationary and advancing) fractures along bi-material interfaces in layered composites. Damaged contact surf…

physics.geo-ph2017

On the elastic anatomy of heterogeneous fractures in rock

Fatemeh Pourahmadian, Bojan B. Guzina

This study examines the feasibility of the full-field ultrasonic characterization of fractures in rock. To this end, a slab-like specimen of granite is subjected to in-plane, O(10$…

math.NA2016★ 14 cited

A synoptic approach to the seismic sensing of heterogeneous fractures: from geometric reconstruction to interfacial characterization

Fatemeh Pourahmadian, Bojan B. Guzina, Houssem Haddar

A non-iterative waveform sensing approach is proposed toward (i) geometric reconstruction of penetrable fractures, and (ii) quantitative identification of their heterogeneous conta…

physics.geo-ph2016★ 29 cited

Generalized linear sampling method for elastic-wave sensing of heterogeneous fractures

Fatemeh Pourahmadian, Bojan B. Guzina, Houssem Haddar

A theoretical foundation is developed for active seismic reconstruction of fractures endowed with spatially-varying interfacial condition (e.g.~partially-closed fractures, hydrauli…

cond-mat.mtrl-sci2015

On the elastic-wave imaging and characterization of fractures with specific stiffness

Fatemeh Pourahmadian, Bojan B. Guzina

The concept of topological sensitivity (TS) is extended to enable simultaneous 3D reconstruction of fractures with unknown boundary condition and characterization of their interfac…