Ehsan Dehghan-Niri

ORCID: 0000-0001-6839-4585
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About
Contact & Profiles
Research Areas
  • Ultrasonics and Acoustic Wave Propagation
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Geophysical Methods and Applications
  • Animal Vocal Communication and Behavior
  • Infrastructure Maintenance and Monitoring
  • Soft Robotics and Applications
  • Vibration Control and Rheological Fluids
  • Seismic Performance and Analysis
  • Industrial Vision Systems and Defect Detection
  • Acoustic Wave Resonator Technologies
  • Primate Behavior and Ecology
  • Geothermal Energy Systems and Applications
  • Additive Manufacturing and 3D Printing Technologies
  • Amphibian and Reptile Biology
  • Concrete Corrosion and Durability
  • Marine animal studies overview
  • Climate change and permafrost
  • Structural Engineering and Vibration Analysis
  • Hearing, Cochlea, Tinnitus, Genetics
  • Seismic Waves and Analysis
  • Additive Manufacturing Materials and Processes
  • Power Line Inspection Robots
  • Image and Signal Denoising Methods
  • Welding Techniques and Residual Stresses

Arizona State University
2023-2024

New Mexico State University
2017-2023

ORCID
2021

University at Buffalo, State University of New York
2012-2014

State University of New York
2013

University of Tehran
2008-2012

In the last two decades, several efforts have been made to monitor cracking behavior in RC structures. A technique that shows promise is acoustic emission (AE). This paper presents results of an experimental study aimed at monitoring fracture processes a large-scale shear wall using one most important AE parameters, is, b-value. The specimen was subjected displacement controlled reversed cyclic loading. Gaussian filter proposed improve interpretation b-value data obtained during test....

10.1061/(asce)st.1943-541x.0000781 article EN Journal of Structural Engineering 2012-12-01

Deep Learning has been utilized in computer vision for object detection almost a decade. Real-time robotic inspection and harvesting gained interest during this time as possible technique high-quality machine assistance agriculture applications.We utilize RGB thermal images of chili peppers an environment various amounts debris, pepper overlapping, ambient lighting, train dataset, compare methods. Results are presented from the real-time less than models. Two advanced deep learning...

10.1016/j.aiia.2021.05.003 article EN cc-by-nc-nd Artificial Intelligence in Agriculture 2021-01-01

In the past few years, several efforts have been made to combine guided ultrasonic waves and imaging algorithms such as tomography for detecting locating damage in complex structures. this article, we introduce a multi-helical approach structural health monitoring of cylindrical An array permanently installed piezoelectric transducers is used generate receive high-order helical around structure artificially increase ray density/resolution without increasing number sensors. A...

10.1177/1475921714548937 article EN Structural Health Monitoring 2014-09-04

The main contribution pursued in this investigation is to propose a generic optimal methodology for designing multiple tuned mass damper (MTMD) systems efficiently suppress the response of uncertain structures harmonic excitations. This comprises quantitative indexing MTMD effectiveness and robustness as performance criteria, implementing two-objective optimization presenting solutions set non-dominated designs. Within three-step framework, utilization new index proposed, advantages...

10.1002/stc.297 article EN Structural Control and Health Monitoring 2008-12-02

Defects are a leading issue for the rejection of parts manufactured through Directed Energy Deposition (DED) Additive Manufacturing (AM) process. In an attempt to illuminate and advance in situ quality monitoring control workpieces, we present innovative data-driven method that synchronously collects sensing data AM process parameters with low sampling rate during DED The proposed technique determines important influences individual printing features have on prediction at inter-layer...

10.3390/app12188974 article EN cc-by Applied Sciences 2022-09-07

This paper presents the performance of a single horizontal conventional Impact Damper (ID) in both wide range frequency and resonance excitations. The effects coefficient restitution, e, mass ratio, μ, clearance, d, on ID are investigated. optimal parameters numerically found by discretely varying clearance excitation frequency. is discussed, with respect to different parameters, off-resonance modes. In addition, it shown how efficiency deteriorated as result mistuning amplitude excitation....

10.1016/j.scient.2012.01.001 article EN Scientia Iranica 2012-02-02

Abstract Tap testing is an effective way of characterizing material conditions and flaws in various materials, including wood. Given its versatility widespread usage, wood requires thorough inspection to assess quality, identify potential defects, ensure the safety durability wooden structures across diverse applications. This technique has advantage being simple, efficient inexpensive. The tap method, when performed manually, operator each point structure using a hand-held object (e.g.,...

10.21203/rs.3.rs-3938201/v1 preprint EN cc-by Research Square (Research Square) 2024-02-12

This paper demonstrates the trade-off between nominal performance and robustness in intelligent conventional structural vibration control schemes; and, proposes a systematic treatment of stability against uncertainty due to damage. The adopted strategies include an genetic fuzzy logic controller (GFLC) reduced-order observer-based (ROOB) controllers based on pole-placement linear quadratic regulator (LQR) schemes. These are applied seismically excited truss bridge structure through active...

10.1142/s0219455410003592 article EN International Journal of Structural Stability and Dynamics 2010-06-16

The aye-aye (Daubentonia madagascariensis) is best known for its unique acoustic-based foraging behavior called 'tap-scanning' or 'percussive foraging'. tap-scanning a allowing to locate small cavities beneath tree bark and extract wood-boring larvae from it. requires the animal auditory system have exceptional acoustic near-field sensitivity. This paper has experimentally investigated effects of external pinna in sensing detection capabilities aye-ayes. To evaluate ear (pinna) aye-aye,...

10.1088/1748-3190/ab98de article EN Bioinspiration & Biomimetics 2020-06-02

Reinforced Concrete (RC) has been widely used in construction of infrastructures for many decades. The cracking behavior concrete is crucial due to the harmful effects on structural performance such as serviceability and durability requirements. In general, loading structures until failure, tensile cracks develop at initial stages loading, while shear dominate later. Therefore, monitoring modes paramount importance it can lead prediction performance. past two decades, significant efforts...

10.1117/12.2008705 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2013-04-19

This paper presents a multi helical ultrasonic imaging approach for quantitative corrosion damage monitoring of cylindrical structures. The consists two stages. First (MHUI) algorithm is used to provide qualitative images the structure interest. Then, an optimization problem solved in order obtain information, such as thickness map. Experimental tests are carried out on steel pipe instrumented with six piezoelectric transducers validate proposed approach. Three recesses considered simulate...

10.12989/smm.2016.3.3.215 article EN Structural Monitoring and Maintenance 2016-09-25

Tubular structures are critical components in infrastructure such as power plants. Throughout their life, they subjected to extreme conditions or suffer from defects corrosion and cracks. Although regular inspection of these is necessary, limited by safety-related risks access for human inspection. Robots can provide a solution automatic The main challenge, however, lies integrating sensors nondestructive evaluation with robotic platforms. As part developing versatile lizard-inspired tube...

10.32548/2021.me-04223 article EN Materials Evaluation 2021-07-01

This paper presents phase-space analysis of nonlinear ultrasound in concrete materials subjected to different compression loads. Nonlinearities due defects and material properties can alter frequency content transmitted received waveforms. As a result, waveforms are traditionally analyzed domain. However, using domain analyze behavior has several shortcomings. Different sources nonlinearities make the same change identification source impossible. In addition, it is hard observe explain...

10.1117/12.2514392 article EN 2019-04-01
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