Engineering Commons^™

Application Of Digital Core Analysis To Improve Reservoir Characterisation And Modelling: The Otway Formation As A Case Study, Masoud Aslannezhad, Mohammad Sayyafzadeh, David Tang, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Conventional reservoir models of heterogeneous reservoirs do not include micro-scale heterogeneity due to the resolution limitations of widely used well logs and core plug data. This leads to a lack of precision in the characterization of the reservoir. The reservoir quality of the thin sandstone layers in heterogeneous reservoir are critical factors for CO2 sequestration. The integration of micro-CT images from rock samples and upscaling algorithms, enables a comprehensive understanding of reservoir properties and facilitates accurate reservoir modelling. This research aims to enhance reservoir characterization and modelling by upscaling digital core data from micro scale to field scale. By focusing …

Meso-Damage Characterization Of Chemically Corroded Rocks Under Unloading Confinement Conditions, Hao Li, Leo Pel, Zhenjiang You, David Smeulders

Research outputs 2022 to 2026

Characterizing meso-damage and understanding its correlation with macroscopic mechanical responses of rocks under coupled chemical-mechanical (C-M) conditions are crucial for the stability analysis and safety design of underground constructions in chemically corrosive environments. This research proposes a model to quantify coupled C-M meso-damage of rocks, utilizing geochemical surface reaction theory, statistical mechanics, thermodynamic principles, and novel principals proposed in this study, termed Random Energy Release Rate (RERR) and Effective Chemical Damage (ECD). To achieve this goal, a multiscale experimental investigation, including Nuclear Magnetic Resonance (NMR), X-ray diffraction (XRD), Scanning electron microscopy (SEM), pH and ion chromatography analysis, triaxial compression and …

Mixed Ion-Electron Conducting Lixag Alloy Anode Enabling Stable Li Plating/Stripping In Solid-State Batteries Via Enhanced Li Diffusion Kinetic, Anran Cheng, Pei Gao, Ruxing Wang, Kangli Wang, Kai Jiang

EKU Faculty and Staff Scholarship

Although showing huge potential in prospering the marketplace of all-solid-state lithium metal batteries (ASSLMBs), garnet-type solid electrolytes (Li6.5La3Zr1.5Ta0.6O12, LLZTO) are critically plagued by interface instability with Li anode and the vulnerability to Li dendrite, which are attributed to poor Li diffusion kinetic in bulk Li metal. Herein, a LixAg solid solution alloy with high Li diffusion kinetic is reported as a mixed ion- electron conductor (MIEC) alloy anode. The high Li diffusion kinetic stemming from a low eutectic point and a high mutual solubility of LixAg could reduce the Li concentration gradient in the anode, regulate Li electrochemical potential, and …

Phase Of The Seabed Frequency-Domain Reflection Coefficient: Measurements And Modeling, Charles W. Holland

Electrical and Computer Engineering Faculty Publications and Presentations

The phase of the seabed frequency-domain reflection coefficient potentially contains valuable information on the geoacoustic properties in a layered/refracting seabed. However, heretofore, the phase has not been exploited. Measurements of phase are presented in an area of thick mud at the New England Mud Patch. In addition, a model is presented along with the modeling results. While this is only a first step towards understanding the potential value of exploiting the phase, it seems clear that in some instances, the phase not only contains valuable geoacoustic information, but carries a higher information content than the magnitude.

High Shear Stress Reduces Erg Causing Endothelial-Mesenchymal Transition And Pulmonary Arterial Hypertension, Tsutomu Shinohara, Jan-Renier Moonen, Yoon Hong Chun, Yannick C. Lee-Yow, Kenichi Okamura, Jason M. Szafron, Jordan Kaplan, Aiqin Cao, Lingli Wang, Weiguang Yang

Mechanical Engineering Faculty Publications

Background: Computational modeling indicated that pathological high shear stress (HSS; 100 dyn/cm2) is generated in pulmonary arteries (PAs; 100-500 µm) in congenital heart defects causing PA hypertension (PAH) and in idiopathic PAH with occlusive vascular remodeling. Endothelial-to-mesenchymal transition (EndMT) is a feature of PAH. We hypothesize that HSS induces EndMT, contributing to the initiation and progression of PAH.

Methods: We used the Ibidi perfusion system to determine whether HSS applied to human PA endothelial cells (ECs) induces EndMT when compared with physiological laminar shear stress (15 dyn/cm2). The mechanism was investigated and targeted to prevent PAH in a mouse with …

Effect Of Mg–Nb Oxides On Hydrogen Sorption Kinetics Of Ball-Milled Mgh2, Md. Wasikur Rahman, Muhammad Nurunnabi Siddiquee, Mohammad M. Hossain, M. Jasim Uddin

Mechanical Engineering Faculty Publications

Addition of Mg–Nb oxides (e.g. MgNb₂O₆, Mg₄Nb₂O₉, and Mg₃Nb₆O₁₁) ameliorates H₂ absorption/desorption kinetics of MgH₂ as demonstrated in the current article. H₂ desorption and absorption rates of the ball-milled MgH₂ are evidently temperature-dependent, which points out that the prior rate increases with increasing temperature (593–673 K) and vice versa. Among the tested samples, MgH₂ with Mg₃Nb₆O₁₁ nanoparticles showed superior performance. The Johnson–Mehl–Avrami equation was employed to construct H₂ desorption curves as well as …

Introduction To The Special Issue On Verification And Validation Of Source And Propagation Models For Underwater Sounda), Kathleen J. Vigness-Raposa, Klaus Lucke, Michael A. Ainslie, Michele B. Halvorsen, Christ A. F. De Jong, Stanley J. Labak, Martin Siderius

Electrical and Computer Engineering Faculty Publications and Presentations

This joint Special Issue of JASA and JASA Express Letters focuses on underwater sound source and propagation modelling, both of ambient sound as well as sources of relevance to possible effects of sound on aquatic life, and corresponding acoustical metrics. Combining information on the sound field with information on a dose-effect relationship enables estimation of the potential effects. The Special Issue presents a collection of eighteen articles on the following topics: (1) verification of source and propagation models, (2) validation of source and propagation models, and (3) bioacoustical metrics for assessment of the risk of environmental effects. This special issue …

Connecting Developed Pressure – Preload Relationship In Ex-Vivo Beating Heart With Cellular Sarcomere Length – Tension Relationship, Lei Fan, Vahid Ziaei-Rad, Jason Bazil, Lik Chuan Lee

Biomedical Engineering Faculty Research and Publications

The heart’s developed pressure (DP) in Langendorff heart experiments increases with preload via the Frank-Starling mechanism up to a critical transition point at which DP starts to decrease with preload. A similar behavior is found at the cellular level, where the tension developed by skinned cardiac fibers or myocytes in isometric tension test increases with sarcomere length up to a transition point beyond which, the tension decreases. This cellular-level behavior is termed myofilament length dependent activation. While these two behaviors are similar, they occur at vastly different scales. Specifically, the DP – preload and sarcomere length – tension relationships occur, …

Recommender Systems And Reinforcement Learning For Human-Building Interaction And Context Aware Support: A Text Mining-Driven Review Of Scientific Literature, Wenhao Zhang, Matias Quintana, Clayton Miller

Research Collection College of Integrative Studies

The indoor environment significantly impacts human health and well-being; enhancing health and reducing energy consumption in these settings is a central research focus. With the advancement of Information and Communication Technology (ICT), recommendation systems and reinforcement learning (RL) have emerged as promising approaches to induce behavioral changes to improve the indoor environment and energy efficiency of buildings. This study aims to employ text mining and Natural Language Processing (NLP) techniques to thoroughly examine the connections among these approaches in the context of human-building interaction and occupant context-aware support. The study analyzed 27,595 articles from the ScienceDirect database, revealing extensive use …

Pilot Study: Initial Investigation Suggests Differences In Emt-Associated Gene Expression In Breast Tumor Regions, Kylie L. King, Hamed Abdollahi, Zoe Dinkel, Alannah Akins, Homayoun Valafar, Heather Dunn

Faculty Publications

Triple negative breast cancer (TNBC) is the most aggressive subtype and disproportionately affects African American women. The development of breast cancer is highly associated with interactions between tumor cells and the extracellular matrix (ECM), and recent research suggests that cellular components of the ECM vary between racial groups. This pilot study aimed to evaluate gene expression in TNBC samples from patients who identified as African American and Caucasian using traditional statistical methods and emerging Machine Learning (ML) approaches. ML enables the analysis of complex datasets and the extraction of useful information from small datasets. We selected four regions of interest …

Spark Plasma Sintering Of (Zr,Nb)C Ceramics, Jacob Stacy, Greg Hilmas, Jeremy Watts, Brian Taylor, Jhonathan Rosales

Materials Science and Engineering Faculty Research & Creative Works

A range of (Zr,Nb)C ceramics containing 20–50 vol% NbC were spark plasma sintered at 2000°C. The ceramics had relative densities greater than 97 %, and all compositions formed a complete solid solution. The average grain size was ∼7.1 µm over all compositions. Elastic moduli values ranged from 436 to 445 GPa, and the fracture toughness ranged from 0.8 to 2.8 MPa·m1/2 over the compositional range, both increasing with increasing NbC content. The hardnesses of the (Zr,Nb)C ceramics ranged from 19.1 to 20.2 GPa at a load of 9.81 N. The flexural strength increased from 352 to 395 MPa as the …

Reinforcing Polymer Flooding System With Dendritic Mesoporous Silica Nanoparticles For Improved Oil Recovery, Di Li, Yanling Wang, Baojun Bai, Ning Xu, Wenjing Shi, Yu Zhang, Wenhui Ding, Peixu Ma, Zan Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Dendritic mesoporous silica nanoparticles (DMSNs), characterized by a high specific surface area and abundant hydroxyl groups, offer a promising approach to enhancing the performance of amphiphilic polymers in challenging enhanced oil recovery (EOR) conditions. In this study, DMSNs were successfully synthesized, and systematically evaluated for their impact on the solution properties of a betaine amphiphilic polymer (PADC). The unique "flower-like" mesoporous structure of DMSNs provided approximately 7-fold higher surface area than conventional SiO2, facilitating enhanced polymer-nanoparticle interactions. The DMSN/PADC composite system exhibited significantly improved viscosity, salt resistance, thermal tolerance, and shear resistance compared to PADC and SiO2/PADC systems. Quantum chemical …

Development Of A Basilar Membrane-Inspired Mechanical Spectrum Analyzer Using Metastructures For Enhanced Frequency Selectivity, Shantanu H. Chavan, Vijaya Venkata Narasimha Sriram Malladi

Michigan Tech Publications

This study introduces a mechanical spectrum analyzer (MSA) inspired by the tonotopic organization of the basilar membrane (BM), designed to achieve two critical features. First, it replicates the traveling-wave behavior of the BM, characterized by energy dissipation without reflections at the boundaries. Second, it enables the physical encoding of the wave energy into distinct spectral components. Moving beyond the conventional focus on metamaterial design, this research investigates wave propagation behavior and energy dissipation within metastructures, with particular attention to how individual unit cells absorb energy. To achieve these objectives, a metastructural design methodology is employed. Experimental characterization of metastructure samples …

In Memoriam - Nora Sabelli: Master Orchestrator Of Grant Programs And Mentor For Advancing The Interdisciplinary Learning Sciences Field, Eric Hamilton, Jeremy Roschelle, Roy Pea, Barbara Means, Louis Gomez, Kim Gomez, Nancy Butler Songer

Education Division Scholarship

On Friday, September 6, 2024, the learning sciences field lost a giant in Dr. Nora Sabelli, 87 years old, a personal mentor to many researchers and an inspiration to so many learning scientists and STEM leaders. Nora’s first professional career was as a computational chemist, and later she became a passionate leader in research for improving STEM education. Nora’s time as a senior program officer at the National Science Foundation’s (NSF) Education and Human Resources (EHR) directorate was legendary; she was a force of nature who reshaped funding priorities for stronger science and a stronger connection of science to education …

Hierarchical Analysis Of Us Electric Vehicle Subsidies For Carbon Emission Mitigation, Boman Su, Kang Shen, Chris Yuan

Faculty Scholarship

Electric vehicle (EV) adoptions are promoted with subsidies to reduce greenhouse gas emissions from ground transportation. In this paper, a hierarchical analysis is presented on the potential of greenhouse gas emission mitigation via the electric vehicle subsidy policy at state level in the US, through research of environmental and economic fundamentals of electric vehicle operations, energy consumptions, battery degradation and service life. It has been found that restructuring the federal subsidies to promote EV adoption can significantly reduce greenhouse gas emissions across the US. The reduction costs of greenhouse gas emissions vary between $1167.44/ton in Vermont to $6880.13/ton in Wyoming. …

Field-Scale Investigation Of Co2 Plume Dynamics Under Spatial Wettability Variations: Implications For Geological Co2 Storage, Haiyang Zhang, Mohamed Mahmoud, Stefan Iglauer, Muhammad Arif

Research outputs 2022 to 2026

Subsurface formations typically exhibit heterogeneous wetting characteristics due to the complex pore system, mixed lithology, and prolonged contact with native fluids. This non-uniformity in spatial wettability distribution thus makes the subsurface formations exhibit more complex localized CO2/brine/rock interactions, introducing uncertainties in estimating trapping capacity and predicting CO2 plume migration. Field-scale investigation on the role of wettability in CO2 geo-storage has received limited attention, and previous studies typically assume an internal uniform wettability condition across the whole formation. However, the more realistic scenario of internal wettability spatial variations within a single formation is yet to be thoroughly examined. In this study, …

Aquatic Quality Watch Informed By Communities (Aqwic) Facilitating The Adoption Of Low-Cost Sensor Systems For Underserved Communities: A Review And Tutorial, Josiah Hacker, Fatima Iqbal, Matias Osuna, Osely Perea, Keiner Sánchez, Christopher Page, Jamie Torres, Md Nizam Uddin, Hannah Walden, Mikko Westerbeke, Astana Woody, Nazly Enith Rubio Murillo, Francisco Cubas, Farith Diaz-Arriaga, Lewis Stetson Rowles

Civil Engineering & Construction: Faculty Publications

This tutorial review addresses the growing need for accessible water quality monitoring in rivers, lakes, and other surface waters. While commercial monitoring systems effectively serve water utilities and regulatory agencies, many communities lack the resources for regular water quality assessment. We present approaches for developing low-cost monitoring systems specifically designed for community-based environmental monitoring programs, citizen science initiatives, and educational applications. Through systematic analysis of 84 peer-reviewed papers on low-cost water quality monitoring, we identify key implementation approaches, common challenges, and successful design strategies. This analysis informs our tutorial recommendations and provides evidence-based guidance for system development. Specifically, we introduce …

Condition Assessment Of Bolted Connections In Steel Structures Using Deep Learning, Faezeh Jafari, Sattar Dorafshan

Civil Engineering Faculty Publications

Steel structure connections are prone to bolt loosening and subsequent loss of strength or stability if not inspected periodically. Use of noncontact sensing and artificial intelligence can substantially increase the safety and efficiency of these inspections; however, the existing defect detection models do not account for variability of defects in both missing and loosened bolt connections. Furthermore, the performance of available deep learning models can be substantially diminished due to the presence of background noise in images of real structures. Finding these defects could be even more difficult in highway steel structures due to the complex and continuously changing nature …

Transient Temperature Measurements In A Ballistic Impact Experiment On A Thermoplastic Composite Material, Alexander I.G. Savadelis, Bryan E. Schmidt

Faculty Scholarship

Dynamic impact tests were conducted on thermoplastic composite laminates over an impact velocity range spanning the penetration velocity threshold, 88% of the penetration velocity, and 34% of the penetration velocity of the test panels. The primary objective was to record temperature increases that could affect the material properties of the composite during an impact event, and if so, provide guidance to predictive models which may account for such temperature rises. Observations from a combination of high-speed visible light photogrammetry coupled with high-speed infrared thermography indicate that it is highly unlikely that the composite reaches the glass transition temperature of 147°C …

Draft Active Travel & Public Realm Evaluation Framework (Summary), Sarah Rock Dr, Sinead Flavin

Other Resources

This aim of this Draft Summary Framework is to assist Local Authorities & other similar authorities in the monitoring and evaluation of their active travel & public realm interventions. It is intended to allow for flexibility depending on the project objectives and context, and is not intended to be a definitive list of indicators and metrics. The indicators and metrics included seek to strike the balance between what's reasonable, practical and feasible for a Local Authority and associated resources in terms of monitoring & evaluation. Not all projects can be reasonably expected to be fully monitored and evaluated, thus a …

Capture The Smart Tag Competition (Cyber-Physical Systems), Stanley Mierzwa, Iassen Christov, Caitlin Chiodo

Center for Cybersecurity

YouTube Video Recording and Long Island News 12 coverage.

Kean University Cybersecurity Competition: Students Take on High-Tech Challenges - Kean University

Kane in Your Corner: Technology fuels rise in stalking cases

Electrochemical Insights Into The Direct Dissolution Of Impure Sphalerites And Their Partial Oxidation In An Acidic Environment, Gholamreza Khodadadmahmoudi, Saeid Karimi, Hadi Abdollahi, Milad Karimi, Ali Rezaei, Lana Alagha

Mining Engineering Faculty Research & Creative Works

This study examined the electro dissolution mechanism of five impure sphalerite samples, which differ significantly in purity levels, along with their partially oxidized counterparts in a 0.5 M H₂SO₄. Partially oxidized samples were prepared through an incomplete leaching of sphalerite using H₂SO₄ with Fe₂(SO₄)₃.H₂O as an oxidizing agent. The original sphalerite samples and the partially oxidized samples were referred to as SP and POS samples, respectively. Analyses using XRD, SEM, Raman spectroscopy, and electrochemical techniques suggested presence of elemental sulfur and a metal-deficient layer on …

Proximal Remote Sensing: An Essential Tool For Bridging The Gap Between High-Resolution Ecosystem Monitoring And Global Ecology, Zoe Amie Pierrat, Troy S. Magney, Will P. Richardson, Benjamin R. K. Runkle, Jen L. Diehl, Xi Yang, William Woodgate, William K. Smith, Miriam R. Johnston, Yohanes R. S. Ginting, Gerbrand Koren, Loren P. Albert, Christopher L. Kibler, Bryn E. Morgan, Mallory Barnes, Adriana Uscanga, Charles Devine, Mostafa Javadian, Karem Meza, Tommaso Julitta, Giulia Tagliabue, Matthew P. Dannenberg, Michal Antala, Christopher Y. S. Wong, Andre L. D. Santos, Koen Hufkens, Julia K, Marrs, Atticus E. L. Stovall, Yujie Liu, Joshua B. Fisher, John A. Gamon, Kerry Cawse-Nicholson

Civil and Environmental Engineering Student Research

A new proliferation of optical instruments that can be attached to towers over or within ecosystems, or ‘proximal’ remote sensing, enables a comprehensive characterization of terrestrial ecosystem structure, function, and fluxes of energy, water, and carbon. Proximal remote sensing can bridge the gap between individual plants, site-level eddy-covariance fluxes, and airborne and spaceborne remote sensing by providing continuous data at a high-spatiotemporal resolution. Here, we review recent advances in proximal remote sensing for improving our mechanistic understanding of plant and ecosystem processes, model development, and validation of current and upcoming satellite missions. We provide current best practices for data availability …

Diversity, Equity, And Inclusion In Computing Science: Culture Is The Key, Curriculum Contributes, Giulia Toti, Peggy Lindner, Alice Gao, Ouldooz Baghban Karimi, Rutwa Engineer, Jinyoung Hur, Fiona Mcneill, Shanon Reckinger, Rebecca Robinson, Anna Sollazzo, Richard Wicentowski

Engineering Management and Systems Engineering Faculty Research & Creative Works

Undergraduate computer science programs worldwide struggle to attract and retain underrepresented students for many reasons. Culture, stereotype threats, uneven gender and racial representations, lack of role models, and uncertain career prospects for minority groups are among the many reasons behind this situation. Many computer science programs are trying to change course through strategies to foster equity, diversity, and inclusion (EDI), aimed at improving outreach, recruitment, admissions, and retention of underrepresented students. EDI approaches may also include modifications to the undergraduate computer science curriculum. However, if not properly planned, these modifications risk amplifying existing stereotypes rather than producing positive change [38]. …

After A Wildfire: Water Safety Considerations Inside Buildings, Andrew J. Whelton, P. Coelho

Resilience to Emergencies and Disasters

No abstract provided.

Co2 Electrolysis Using Metal-Supported Solid Oxide Cells With Infiltrated Pr0.5Sr0.4Mn0.2Fe0.8O3−Δ Catalyst, Boxun Hu, Ka-Young Park, Asia Sarycheva, Robert Kostecki, Fanglin Chen, Michael C. Tucker

Faculty Publications

Electrochemical conversion of CO₂ to CO is demonstrated with symmetric-structured metal supported solid oxide cells (MS-SOC). Perovskite Pr_0.5Sr_0.4Mn_0.2Fe0.8O_3−δ (PSMF) and Pr₆O₁₁ catalysts were infiltrated into the MS-SOC cathode and anode, using 3 cycles with firing at 850 °C and 8 cycles with firing at 800 °C, respectively. Upon reduction during operation, the perovskite PSMF was transformed to Ruddlesden–Popper structure with a highly efficient electrocatalytic activity. The impact of operating temperature (600–800 °C) and overpotential (0–1.8 V) on the CO₂ conversion was investigated. The highest CO₂ conversion …

Fast 3d Printing Of Fine, Continuous, And Soft Fibers Via Embedded Solvent Exchange, Wonsik Eom, Mohammad Tanver Hossain, Vidush Parasramka, Jeongmin Kim, Ryan W. Y. Siu, Kate A. Sanders, Dakota Piorkowski, Andrew Lowe, Hyun Gi Koh, Michael F. L. De Volder, Douglas S. Fudge, Randy H. Ewoldt, Sameh H. Tawfick

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Nature uses fibrous structures for sensing and structural functions as observed in hairs, whiskers, stereocilia, spider silks, and hagfish slime thread skeins. Here, we demonstrate multi-nozzle printing of 3D hair arrays having freeform trajectories at a very high rate, with fiber diameters as fine as 1.5 µm, continuous lengths reaching tens of centimeters, and a wide range of materials with elastic moduli from 5 MPa to 3500 MPa. This is achieved via 3D printing by rapid solvent exchange in high yield stress micro granular gel, leading to radial solidification of the extruded polymer filament at a rate of 2.33 μm/s. …

Role Of Sulphur In Resistive Switching Behavior Of Natural Rubber-Based Memory, Muhammad Awais, Nadras Othman, Mohamad Danial Shafiq, Feng Zhao, Kuan Yew Cheong

Electrical and Computer Engineering Faculty Research & Creative Works

The rising environmental awareness has spurred the extensive use of green materials in electronic applications, with bio-organic materials emerging as attractive alternatives to inorganic and organic materials due to their natural biocompatibility, biodegradability, and eco-friendliness. This study showcases the natural rubber (NR) based resistive switching (RS) memory devices and how varying Sulphur concentrations (0-0.8 wt.%) in NR thin films impact the RS characteristics. The NR was formulated and processed into a thin film deposited on an indium tin oxide substrate as the bottom electrode and with an Ag film as the top electrode. The addition of Sulphur modifies the degree …

Vision Based Stockpile Inventory Measurement Using Uncrewed Aerial Systems, Faezeh Jafari, Sattar Dorafshan

Civil Engineering Faculty Publications

Monitoring a stockpile plays a vital role in material inventories at the State Departments of Transportation (DOTs). Various technologies, such as Total Stations (TST), Light Detection and Ranging (LiDAR), and Global Positioning Systems, are conventionally used to obtain stockpile volumes; however, DOTs seek a faster, safer way to obtain an object’s volume with minimal workforce training. Uncrewed Aircraft Systems (UAS), coupled with visual imagery, have the potential to address these limitations; however, UAS visual has not been effectively developed to account for flight parameters in measurements, such as Ground Sampling Distance (GSD). Images of regular and irregular objects were collected …

The Future Of Aviation: Becoming An Evtol Pilot – Faa’S New Regulations Open Up Career Opportunities, Sarah Nilsson

Publications

As the aviation industry stands on the brink of a revolutionary change, aspiring pilots are increasingly drawn to the exciting prospect of flying electric Vertical Takeoff and Landing (eVTOL) aircraft. The allure of this cutting-edge technology has many asking: “How does one become an eVTOL pilot in the United States?” This question opens up a cascade of inquiries about the future of flight training, the certification process and the transition for existing pilots into this new realm of aviation like:

• What will the flight training curriculum look like for eVTOL aircraft?

• Who will be the pioneering Certified Flight …