Submit to JETA Review for JETA Propose a Special Issue

Journal Menu

Journal Browser

► Journal Browser

Featured Papers for Journal of Experimental and Theoretical Analyses (JETA)

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Benefits of Publishing in a Special Issue
Related Special Issue
Published Papers

A special issue of Journal of Experimental and Theoretical Analyses (ISSN 2813-4648).

Deadline for manuscript submissions: closed (31 December 2025) | Viewed by 15778

Share This Special Issue

Special Issue Editor

Prof. Dr. Marco Rossi

E-Mail Website
Guest Editor

1. Department of Basic and Applied Sciences for Engineering (SBAI), SAPIENZA University of Rome, Via A. Scarpa, 16-0161 Rome, Italy
2. Research Center of Nanotechnologies for Engineering (CNIS), SAPIENZA University of Rome, Via A. Scarpa, 16-0161 Rome, Italy
Interests: nanoscience and nanotechnology, with a focus on the design and structure–property analysis of nanostructured materials; extensive experience in multiscale, multifunctional characterization, with strong expertise in electron microscopies (TEM/SEM/STEM and related techniques), electron diffraction, scanning probe methods, and Raman spectroscopy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The intricate relationship between theory and experiment is the cornerstone of progress in engineering. At the Journal of Experimental and Theoretical Analyses (JETA), we are committed to exploring these connections through rigorous and innovative research. This journal is a dedicated platform for presenting pioneering analyses that push the boundaries of what is possible in engineering.

Our journal serves as a crucial nexus where theoretical insights meet experimental validation, advancing our understanding of complex engineering phenomena. The comprehensive exploration of these topics not only contributes to academic knowledge but also leads to practical applications that address real-world engineering challenges. We aim to foster a deep appreciation of the methodologies that make these discoveries possible.

As Editor-in-Chief, I encourage submissions that reflect the journal's commitment to excellence in both theoretical and experimental analyses. I look forward to the invaluable insights that our contributors will share as we work together to expand the frontiers of engineering knowledge.

Prof. Dr. Marco Rossi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Experimental and Theoretical Analyses is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

bioengineering analysis
material engineering analysis
electric and electronic engineering analysis
mechanical engineering analysis
environmental engineering analysis
food engineering analysis

Benefits of Publishing in a Special Issue

Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Featured Papers for Journal of Experimental and Theoretical Analyses (JETA)—Second Edition in Journal of Experimental and Theoretical Analyses

Published Papers (10 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

Jump to: Review

22 pages, 4515 KB

Open AccessArticle

Thermal Deformation Analysis of Large-Scale High-Aspect-Ratio Parts Fabricated Using Multi-Laser Powder Bed Fusion

by Riddhiman Raut and Amrita Basak

J. Exp. Theor. Anal. 2026, 4(1), 6; https://doi.org/10.3390/jeta4010006 - 29 Jan 2026

Viewed by 408

Abstract

Multi-laser powder bed fusion is an emerging additive manufacturing technology that enables the production of high-performance components with intricate geometries and large aspect ratios. These tall, slender structures are highly susceptible to steep thermal gradients and residual stress, leading to deformation that compromises dimensional accuracy and structural integrity. This study investigates how geometric compensation, support structure design, and part scaling influence thermal deformation in Inconel 718 components fabricated via multi-laser powder bed fusion. Using pre-compensation, iterative support refinements, and scaled experimental builds, the deformation response across multiple geometries and print strategies is evaluated. Both compensated and original designs are printed on a commercial system equipped with three simultaneously operating lasers. Results show that printing high-angle surfaces without support structures is infeasible, as thermally induced warping and delamination lead to catastrophic failures. Conical support structures spanning critical regions reduce deformation by more than 50% compared to unsupported builds. Reduced-scale parts, however, do not reliably replicate full-scale deformation behavior due to altered boundary conditions and thermal pathways. These findings highlight the need for integrated design-for-AM workflows where compensation, support design, and scale effects are addressed jointly. The study demonstrates that deformation mechanisms do not scale linearly, emphasizing the limitations of small-scale proxies and the necessity of full-scale validation when developing reliable, deformation-aware design strategies for multi-laser powder bed fusion. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

32 pages, 8438 KB

Open AccessArticle

Experimental and Numerical Analysis of a Compressed Air Energy Storage System Constructed with Ultra-High-Performance Concrete and Steel

by Greesh Nanda Vaidya, Arya Ebrahimpour and Bruce Savage

J. Exp. Theor. Anal. 2026, 4(1), 5; https://doi.org/10.3390/jeta4010005 - 16 Jan 2026

Viewed by 416

Abstract

This study explores the viability of ultra-high-performance concrete (UHPC) as a structural material for compressed air storage (CAES) systems, combining comprehensive experimental testing and numerical simulations. Scaled (1:20) CAES tanks were designed and tested experimentally under controlled pressure conditions up to 4 MPa (580 psi), employing strain gauges to measure strains in steel cylinders both with and without UHPC confinement. Finite element models (FEMs) developed using ANSYS Workbench 2024 simulated experimental conditions, enabling detailed analysis of strain distribution and structural behavior. Experimental and numerical results agreed closely, with hoop strain relative errors between 0.9% (UHPC-confined) and 1.9% (unconfined), confirming the numerical model’s accuracy. Additionally, the study investigated the role of a rubber interface layer integrated between the steel and UHPC, revealing its effectiveness in mitigating localized stress concentrations and enhancing strain distribution. Failure analyses conducted using the von Mises criterion for steel and the Drucker–Prager criterion for UHPC confirmed adequate safety factors, validating the structural integrity under anticipated operational pressures. Principal stresses from numerical analyses were scaled to real-world operational pressures. These thorough results highlight that incorporating rubber enhances the system’s structural performance. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

18 pages, 4051 KB

Open AccessArticle

An Evaluation Method to Estimate a Vehicle’s Center of Gravity During Motion Based on Acceleration Relationships

by Francisco Castro, Francisco Queirós de Melo, David Faria, Job Silva, João Nunes, Pedro José Sousa, Mário Augusto Pires Vaz and Pedro M. G. P. Moreira

J. Exp. Theor. Anal. 2026, 4(1), 4; https://doi.org/10.3390/jeta4010004 - 15 Jan 2026

Viewed by 597

Abstract

This paper presents a practical and cost-effective method for in-motion estimation of a vehicle’s CoG position in all three directions by measuring accelerations during two types of maneuvers: braking (longitudinal and vertical CoG estimation) and cornering (lateral and vertical CoG estimation). The proposed method’s main advantage is that it does not require knowledge of vehicle characteristics, such as mass distribution, suspension geometry, or inertia parameters. It relies solely on the known distances between the sensors and their positions relative to a defined reference point on the vehicle. To validate the developed method, experimental tests were conducted on a prototype vehicle, varying the load conditions for the proposed driving scenarios. The CoG position obtained from dynamic maneuvers was compared with reference values derived from static measurements. The results showed that the proposed method could estimate the CoG position with an average error of 3% in the longitudinal direction, a maximum error of 12% in the lateral direction, and a maximum error of 14% in the vertical direction. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

24 pages, 23700 KB

Open AccessFeature PaperArticle

Design Interaction Diagrams for Shear Adequacy Using MCFT-Based Strength of AS 5100.5—Advantages of Using Monte Carlo Simulation

by Koon Wan Wong and Vanissorn Vimonsatit

J. Exp. Theor. Anal. 2025, 3(4), 41; https://doi.org/10.3390/jeta3040041 - 5 Dec 2025

Viewed by 698

Abstract

This paper presents three different approaches for generating points along the interaction diagram corresponding to design load effects—shear, bending moment, and axial force—to achieve optimal shear strength adequacy with the Australian bridge design standard AS 5100.5. The methodology targets the optimal shear condition [...] Read more.

V^{*}

with the capacity

ϕ V_{u}

, which represents achieving a load rating factor of unity within the specified tolerance limits. The first typical approach for generating points for two load effects is by increasing the moment–shear ratio

η_{m}

in small increments from zero to a large value (theoretically infinity), and for each increment, to goal-seek the condition. The other approaches investigated are the use of increasing factored moment

M^{*}

and the use of Monte Carlo simulation. A pretensioned bridge I-girder section reported in the literature was used in the study. The Monte Carlo simulation method was found to be the simplest to program. It allows an interaction surface for the influence of three load effects for optimal shear adequacy to be obtained with minimal program coding and outperforms the goal–seeking approaches for multi-variable interactions. It can create 2-D interaction lines for various levels of shear adequacy for the interaction of

M^{*}

and

V^{*}

, and 3-D interaction surfaces for

M^{*}

V^{*}

, and

N^{*}

. The potential use of interaction diagrams was explored, and the advantages and limitations of using each method are presented. The interaction curves of two typical pretensioned concrete sections of a plank girder, one next to an end support and the other close to mid-span, were created to show the distinguishing features resulting from their reinforcement. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

19 pages, 2682 KB

Open AccessFeature PaperArticle

Probabilistic Cumulative Damage Analysis of Aluminum Light Pole Handholes

by Cameron Rusnak, Aya Al-hamami and Craig Menzemer

J. Exp. Theor. Anal. 2025, 3(4), 40; https://doi.org/10.3390/jeta3040040 - 2 Dec 2025

Viewed by 503

Abstract

Aluminum light poles are essential components of modern infrastructure, providing illumination for highways, urban areas, and pedestrian pathways. Despite their importance, structural vulnerabilities in handholes—necessary for electrical access—can reduce fatigue life due to the structure’s response to wind. This study addresses a critical gap in translating laboratory-derived S–N data into field-applicable methods for assessing cumulative damage in these structures. A probabilistic cumulative damage analysis framework was developed to quantify the structural degradation of handholes due to variable wind velocities. Using a series of controlled cyclic fatigue tests and Miner’s Rule, the study establishes a methodology to convert stress ranges into equivalent wind velocities and correlate laboratory cycle counts with real-world loading conditions. The findings reveal a logarithmic progression of damage accumulation and highlight the utility of integrating standardized factors from ASCE-7 for scalable and geographically adaptable assessments. A proof-of-concept application demonstrates the model’s potential to predict failure risks during extreme wind events, such as hurricanes and tornadoes. This research provides a practical and predictive tool for engineers and contractors to evaluate the structural integrity of aluminum light poles, enabling proactive maintenance and reducing unplanned failures. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

25 pages, 4215 KB

Open AccessArticle

Seed Priming with Phytofabricated Silver Nanoparticles: A Physicochemical and Physiological Investigation in Wheat

by Saubhagya Subhadarsini Sahoo, Dwipak Prasad Sahu and Rajendra Kumar Behera

J. Exp. Theor. Anal. 2025, 3(3), 22; https://doi.org/10.3390/jeta3030022 - 11 Aug 2025

Cited by 2 | Viewed by 1886

Abstract

Seed priming is an innovative pre-planting technique to improve germination and accelerate early seedling growth, offering a sustainable and eco-friendly alternative to chemical treatments. In this study, silver nanoparticles (AgNPs) were synthesized using flower extracts of neem plants for the first time, alongside the conventional neem leaf extract-based AgNPs, and their comparative efficacy was evaluated in wheat seed priming. The biosynthesized AgNPs were characterized through UV–Vis spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), Energy-Dispersive Spectroscopy (EDS), Dynamic Light Scattering (DLS), and zeta potential analysis to confirm their formation, stability, and surface functionality. Wheat seeds were primed with varying concentrations (25, 50, 75, 100 mg/L) of flower-mediated nanoparticles (F-AgNPs) and leaf-mediated nanoparticles (L-AgNPs). Effects on seed germination, seedling growth, plant pigments, secondary metabolites, and antioxidant enzyme activities were systematically investigated. The results indicated that F-AgNP priming treatment significantly enhanced wheat seedlings’ performances in comparison to L-AgNPs, which could be attributed to the difference in phytochemical profiles in the extracts. This study contributes a comparative experimental analysis highlighting the potential of biogenic AgNPs—particularly those derived from neem flower extract—offering a promising strategy for enhancing seedling establishment in wheat through seed priming. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Graphical abstract

21 pages, 3266 KB

Open AccessArticle

Precision and Stability in Hydrostatic Transmissions with Robust H_∞ Control Under Parametric Uncertainties

by Santosh Kr. Mishra, Gyan Wrat, Prabhat Ranjan, Joseph T. Jose and Jayanta Das

J. Exp. Theor. Anal. 2025, 3(2), 14; https://doi.org/10.3390/jeta3020014 - 13 May 2025

Cited by 1 | Viewed by 1565

Abstract

Hydrostatic transmissions are essential in applications demanding variable torque and speed, such as mining and agricultural machinery, due to their compact design, high power-to-weight ratio, and efficient variable speed control. Despite these advantages, their inherent nonlinearities and susceptibility to parametric uncertainties pose significant challenges for precise motion control. This study presents a comparative analysis of classical PID and robust H-infinity controllers for regulating the speed of hydraulic motors under varying torsional loads. A linearized uncertain system model is developed using upper Linear Fractional Transformations (LFTs) to capture key parametric uncertainties. A simplified H-infinity controller is designed to robustly manage system dynamics, particularly addressing phase lags induced by uncertain loads. Simulation results demonstrate that the H-infinity controller offers superior performance over the PID controller in terms of stability, disturbance rejection, and robustness to load fluctuations. This work contributes a practically viable robust control solution for improving the reliability and precision of electro-hydraulic systems, particularly in demanding, real-world environments. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

17 pages, 11207 KB

Open AccessArticle

Metallic Bipolar Plate Production Through Additive Manufacturing: Contrasting MEX/M and PBF-LB/M Approaches

by Karim Asami, Sebastian Roth, Jan Hünting, Tim Röver and Claus Emmelmann

J. Exp. Theor. Anal. 2025, 3(2), 12; https://doi.org/10.3390/jeta3020012 - 14 Apr 2025

Viewed by 1808

Abstract

Additive manufacturing (AM) technologies have witnessed remarkable advancements, offering opportunities to produce complex components across various industries. This paper explores the potential of AM for fabricating bipolar plates (BPPs) in fuel cell or electrolysis cell applications. BPPs play a critical role in the performance and efficiency of such cells, and conventional manufacturing methods often face limitations, particularly concerning the complexity and customization of geometries. The focus here lies in two specific AM methods: the laser powder bed fusion of metals (PBF-LB/M) and material extrusion of metals (MEX/M). PBF-LB/M, tailored for high-performance applications, enables the creation of highly complex geometries, albeit at increased costs. On the other hand, MEX/M excels in rapid prototyping, facilitating the swift production of diverse geometries for real-world testing. This approach can facilitate the evaluation of geometries suitable for mass production via sinter-based manufacturing processes. The geometric deviations of different BPPs were identified by evaluating 3D scans. The PBF-LB/M method is more suitable for small features, while the MEX/M method has lower deviations for geometrically less complex BPPs. Through this investigation, the limits of the capabilities of these AM methods became clear, knowledge that can potentially enhance the design and production of BPPs, revolutionizing the energy conversion and storage landscape and contributing to the design of additive manufacturing technologies. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

Review

Jump to: Research

17 pages, 3338 KB

Open AccessReview

An Overview of Oil Spill Modeling and Simulation for Surface and Subsurface Applications

by M. R. Riazi

J. Exp. Theor. Anal. 2025, 3(4), 29; https://doi.org/10.3390/jeta3040029 - 23 Sep 2025

Viewed by 1936

Abstract

In this review paper, we briefly discuss the occurrence of oil spills and their behavior under natural sea conditions and clean-up methods, as well as their environmental and economic impacts. We discuss methodologies for oil spill modeling used to predict the fate of a spill under dynamic physical and chemical processes. Weathering processes such as evaporation, emulsification, spreading, dissolution, dispersion, biodegradation, and sedimentation are considered within easy-to-use modeling frameworks. We present simple models based on the principles of thermodynamics, mass transfer, and kinetics that under certain conditions can predict oil thickness, volume, area, composition, and the distribution of toxic compounds in water and air over time for various types of oil and their products. Modeling approaches for underwater oil jets, including applications related to the 2010 BP oil spill in the Gulf of Mexico, are reviewed. The influence of sea surface velocity and wind speed on oil spill mapping, spill location, oil spill trajectory over time, areas affected by light, medium, and heavy oil, and comparisons between satellite images and model predictions are demonstrated. Finally, we introduce several recently published articles on more recent oil spill incidents and the application of predictive models in different regions. We also discuss the challenges, advantages, and disadvantages of various models and offer recommendations at the end of the paper. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Figure 1

30 pages, 5612 KB

Open AccessReview

In-Situ Monitoring and Process Control in Material Extrusion Additive Manufacturing: A Comprehensive Review

by Alexander Isiani, Kelly Crittenden, Leland Weiss, Okeke Odirachukwu, Ramanshu Jha, Okoye Johnson and Osinachi Abika

J. Exp. Theor. Anal. 2025, 3(3), 21; https://doi.org/10.3390/jeta3030021 - 29 Jul 2025

Cited by 6 | Viewed by 4799

Abstract

Material extrusion additive manufacturing (MEAM) has emerged as a versatile and widely adopted 3D printing technology due to its cost-effectiveness and ability to process a diverse range of materials. However, achieving consistent part quality and repeatability remains a challenge, mainly due to variations in process parameters and material behavior during fabrication. In-situ monitoring and advanced process control systems have been increasingly integrated into MEAM to address these issues, enabling real-time detection of defects, optimization of printing conditions, reliability of fabricated parts, and enhanced control over mechanical properties. This review examines the state-of-the-art in-situ monitoring techniques, including thermal imaging, vibrational sensing, rheological monitoring, printhead positioning, acoustic sensing, image recognition, and optical scanning, and their integration with process control strategies, such as closed-loop feedback systems and machine learning algorithms. Key challenges, including sensor accuracy, data processing complexity, and scalability, are discussed alongside recent advancements and their implications for industrial applications. By synthesizing current research, this work highlights the critical role of in-situ monitoring and process control in advancing the reliability and precision of MEAM, paving the way for its broader adoption in high-performance manufacturing. Full article

(This article belongs to the Special Issue Featured Papers for Journal of Experimental and Theoretical Analyses (JETA))

► Show Figures

Journal Menu

Journal Browser

Featured Papers for Journal of Experimental and Theoretical Analyses (JETA)

Share This Special Issue

Special Issue Editor

Special Issue Information

Keywords

Benefits of Publishing in a Special Issue

Related Special Issue

Published Papers (10 papers)

Research

Review

Further Information

Guidelines

MDPI Initiatives

Follow MDPI