Results in EngineeringPub Date : 2026-03-01Epub Date: 2026-02-24DOI: 10.1016/j.rineng.2026.109754
Kang Li , Chen Xu , Benfeng Zhu , Shiwen Hu , Li Jiang , Li Ren , Guoying Wei , Shenggang Wang , Jianfeng Wang , Shaokang Guan
{"title":"Research progress on high-temperature coupling damage in TiAl alloys","authors":"Kang Li , Chen Xu , Benfeng Zhu , Shiwen Hu , Li Jiang , Li Ren , Guoying Wei , Shenggang Wang , Jianfeng Wang , Shaokang Guan","doi":"10.1016/j.rineng.2026.109754","DOIUrl":"10.1016/j.rineng.2026.109754","url":null,"abstract":"<div><div>The titanium aluminide (TiAl) alloys hold significant application potential in aerospace and related fields due to their low density, high specific strength, good thermal resistance, as well as excellent high-temperature creep resistance and oxidation resistance. In practical high-temperature service environments, the TiAl alloys frequently experience synergistic interactions among various damage mechanisms, including creep, fatigue, and oxidation, which can severely impair their mechanical integrity and reduce component lifetime. This review presents a critical overview of the predominant high-temperature damage modes in TiAl alloys, focusing on the mechanisms and research advancements related to creep damage, fatigue damage, and oxidation damage. This paper further explores coupled damage mechanisms such as thermomechanical fatigue, creep-fatigue interaction, creep-oxidation interaction and environmental hydrogen embrittlement. Additionally, it discusses strategies for enhancing damage resistance through the design of alloying elements and the application of coating technologies in detail. Currently, understanding of the coupled damage mechanisms in high-temperature TiAl alloys remains incomplete, and further research is hindered by the complexity of multi-field coupling and the limitations of the intrinsic properties of material. Future efforts should concentrate on achieving a more profound understanding of the microscopic mechanisms underlying coupled damage, as well as on the development of more effective alloying and coating technologies. These advancements are essential to meet the increasing performance demands for high-temperature TiAl alloys in aerospace applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109754"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence for bridge resilience under extreme conditions: in-depth analysis and future priorities","authors":"Emran Alotaibi , Nadia Nassif , Abdulrahman Metawa , Mohamad Alhalabi","doi":"10.1016/j.rineng.2026.109955","DOIUrl":"10.1016/j.rineng.2026.109955","url":null,"abstract":"<div><div>This review synthesizes recent advances in artificial intelligence (AI) and machine learning (ML) for bridge resilience under extreme conditions. Drawing on 308 Scopus publications from 2021 to 2025, it combines bibliometric mapping with an in‑depth analysis of 20 key studies to track research growth, themes, and international collaborations. Advanced AI models—convolutional neural networks, long‑short‑term memory networks, temporal convolutional networks, and attention‑based hybrids—enhance real‑time structural health monitoring, damage detection, and seismic response prediction. Multimodal data fusion and transfer learning further improve predictive accuracy and support proactive maintenance. Overall, AI‑driven approaches complement inspections and finite‑element models by providing rapid, data‑driven decision support for the design, monitoring, and management of bridges under earthquakes, floods, fire, and strong winds. The review identifies three priorities: embedding AI within digital twins and decision‑support systems for network‑level bridge management; extending applications beyond seismic hazards to a unified multi‑hazard resilience framework; and explicitly addressing data quality, uncertainty, and explainability so AI tools can be trusted in safety‑critical settings. An AI‑integrated bridge digital‑twin framework is proposed to link multimodal sensing, hybrid/PINN‑enabled prediction, and risk‑informed outputs for real‑time monitoring, early warning, and maintenance planning. Future work should strengthen interdisciplinary collaboration and the use of standardized, open datasets to accelerate robust AI deployment.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109955"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flexural performance of RC beams strengthened with grid-reinforced ECC panels using the EBROG technique","authors":"Alireza Saljoughian, Behnaz Arefian, Zeynab Ansari, Davood Mostofinejad","doi":"10.1016/j.rineng.2025.108502","DOIUrl":"10.1016/j.rineng.2025.108502","url":null,"abstract":"<div><div>Engineering cementitious composite (ECC) panels are favored for their effectiveness and ease of installation. Grid-reinforced ECC panels combine the stiffness and flexural strength of grids with ECC’s strain-hardening behavior. Despite these advantages, the flexural performance of these panels can be compromised by premature debonding, which may occur before the design loads are reached. This study explores the grooving method (GM) in the form of externally-bonded reinforcement on grooves (EBROG) to reduce such failures. Therefore, an optimal transverse groove arrangement for installing grid-reinforced ECC panels was adopted as a novel approach. First, direct tensile and four-point bending tests were conducted to study the flexural behavior, strain capacity, and tensile strength of both unreinforced and grid-reinforced ECC panels. Then, five reinforced concrete (RC) beams were constructed and tested under four-point bending to investigate the influence of ECC panels utilized for flexural retrofitting on the maximum load, failure mode, ductility, and energy dissipation. Polypropylene (PP) and polyvinyl alcohol (PVA) fibers were incorporated into the ECC panels, and two types of grids (glass and steel) were used for panel reinforcement. The results showed that the displacement and energy ductility indices of the strengthened beams were enhanced by an average of 79 % and 51 %, respectively, compared to the reference. Notably, beams retrofitted with PVA and PP ECC panels demonstrated average improvements in maximum load capacities of 27 % and 20 %, respectively. Consequently, PP ECC demonstrated performance similar to PVA ECC, suggesting that PP fibers could be a cost-effective alternative while maintaining enhanced flexural performance. The study also validated an analytical method for calculating the nominal moment capacity of the RC beams, demonstrating satisfactory performance.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108502"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning-driven optimization of air bubble curtain locations for controlling sea water intrusion","authors":"Ehsan Kahrizi , Chonoor Abdi Chooplou , Hamid Karimi , Parisa Tayebi , Seyed Ali Akbar Salehi Neyshabouri , Masoud Ghodsian","doi":"10.1016/j.rineng.2025.108436","DOIUrl":"10.1016/j.rineng.2025.108436","url":null,"abstract":"<div><div>Sea Water Intrusion (SWI) poses a significant threat to freshwater resources in coastal regions, and one promising mitigation strategy is the use of Air Bubble Curtains (ABCs), particularly through optimizing their discharge volume. This study conducted a total of 81 laboratory tests, varying flow rates, and salinity levels to evaluate the performance of ABCs in three distinct positions. Utilizing machine learning techniques—specifically Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Regression (SVR)—the research aims to identify the optimal locations for ABC installation (<em>Lˊ</em>) and their discharge (<em>Q<sub>a</sub></em>). The findings indicate that the XGBoost model outperforms the others in predicting the discharge of ABCs, achieving R² = 0.926, RMSE = 0.023, and MAE = 0.019. Utilizing XGBoost, sensitivity analysis revealed that the densimetric Froude number exerts the most significant influence on <em>Q<sub>a</sub></em>. Optimization results utilizing XGBoost show that when the importance weights of objectives (ω<em><sub>Qa</sub></em> and ω<em><sub>Lˊ</sub></em>) are equal, the optimal location ratio (<em>Lˊ</em>/Average freshwater depth) is approximately 0.52; however, as these weights change, the optimized location ratio varies accordingly. This flexible, weighted optimization approach allows decision-makers to tailor ABC positioning to their specific priorities, whether focusing on cost-effectiveness or water quality, ultimately enhancing the management of freshwater resources impacted by SWI.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108436"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-11-26DOI: 10.1016/j.rineng.2025.108445
Ye Yang , Chao Pan , Jiahui Zhang , Zhiyuan Wang , Shiying Di , Qizhong Huang , Na Gao , Yufeng Hu , Zhichang Liu , Siqi Jiang
{"title":"A new model for solubility correlation and prediction in solid-supercritical fluid binary systems: From construction to evaluation","authors":"Ye Yang , Chao Pan , Jiahui Zhang , Zhiyuan Wang , Shiying Di , Qizhong Huang , Na Gao , Yufeng Hu , Zhichang Liu , Siqi Jiang","doi":"10.1016/j.rineng.2025.108445","DOIUrl":"10.1016/j.rineng.2025.108445","url":null,"abstract":"<div><div>Various supercritical solubility correlation models have been developed. This work first evaluated the Carnahan-Starling-van der Waals (CS-VDW) model and Chrastil model for correlating solid solubility in supercritical fluids using 29 binary systems (categorized into five groups: <em>n</em>-alkane–ethane, aromatic–ethane, aromatic–ethylene, <em>n</em>-alkane–CO<sub>2</sub>, aromatic–CO<sub>2</sub>), each with 1–4 isotherms. The average absolute relative deviation (AARD) calculations showed both models had high deviations, with the CS-VDW model failing to correlate some systems. To address this, a new model was developed by applying the vitrification model to critical phenomena description and improving the Chrastil model. It overcomes the CS-VDW limitations, achieving the lowest correlation deviations (AARD: 8.52%, 6.62%, 6.04%, 5.08%, and 4.24% for the five groups) and excellent performance for high-solubility and bulky solutes. Additionally, the model achieved solubility predictions for some of the 29 systems through interpolation and extrapolation methods. Specifically, the predicted results for <em>n</em>-tritriacontane (AARD = 3.78%) and salicylic acid (AARD = 6.04%) in supercritical CO<sub>2</sub> showed good agreement with experimental values.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108445"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Energy optimization of a dish/stirling solar system for electricity generation","authors":"Ghislain Junior Bangoup Ntegmi , Germaine Mabou Ninkam , Francois Lanzetta , Flavian Emmanuel Sapnken , Mebarek-Oudina Fateh , Bleck Fredi Kamto Pomou , René Tchinda","doi":"10.1016/j.rineng.2025.108501","DOIUrl":"10.1016/j.rineng.2025.108501","url":null,"abstract":"<div><div>Stirling cycle machines are used in both motor and receiver cycles. The Stirling cycle engine has good potential for use due to advantages such as external combustion and fuel flexibility. This study presents a Dish/Stirling system to capture solar energy for electricity generation by optimizing its energy performance. The system comprises a solar collector to convert solar energy into heat, a Stirling engine to convert heat into mechanical energy, and an alternator to convert mechanical energy into electrical energy. The Schmidt model with imperfect regeneration is used, taking into account work losses due to gas spring hysteresis. In addition, thermal losses from the solar collector are taken into account in this model. Numerical modeling was performed using MATLAB software. The impact of operational and design elements on the energy performance of the system are studied. Two objective functions were studied, namely solar electric power and solar electric energy efficiency. The results reveal that the present Dish/Stirling explores an improvement in solar electric energy efficiency of 7 % in particular in the absence of consideration of fluid friction losses. Optimum solar electric energy yield is 43.78 % at f = 18 Hz, a maximum electrical power is 10.85 kW at T<sub>E</sub>=400 K. Finally, the heat loss due to regenerator imperfections is greatest for the paraboloidal concentrator, with a value of 0.520 kW, while the smallest loss is that due to gas spring hysteresis, with a value of 0.045 kW. This system can be used for lighting in non-electrified areas.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108501"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent insights into g-C3N4 based composites for methylene blue photocatalytic degradation","authors":"Gholam Hossein Shahverdizadeh , Kambiz Seyyedi , Ali Mehrizad , Roghayeh Majdan-Cegincara , Sona Jamshidi , Elnaz Ghasemi , Parvin Gharbani , Maryam Farbodi , Moosa Es'haghi","doi":"10.1016/j.rineng.2025.108595","DOIUrl":"10.1016/j.rineng.2025.108595","url":null,"abstract":"<div><div>Industrial dyes, particularly toxic organic compounds like Methylene Blue (MB), pose significant threats to aquatic ecosystems and human health. Among various water treatment strategies, photocatalysis has emerged as a highly efficient and environmentally friendly technique for degrading such pollutants. This process leverages light-responsive materials to initiate redox reactions that break down contaminants. Graphitic carbon nitride (g-C<sub>3</sub>N<sub>4</sub>), a metal-free polymeric semiconductor, has garnered considerable attention due to its visible light absorption, chemical stability, and tunable electronic properties. Nevertheless, pristine g-C<sub>3</sub>N<sub>4</sub> suffers from inadequate light absorption capability, rapid charge recombination and low specific surface area, which restricts its photocatalytic efficiency. To overcome limitations, researchers have extensively explored the development of g-C<sub>3</sub>N<sub>4</sub> based composites. These composites integrate g-C<sub>3</sub>N<sub>4</sub> with other materials, such as metal, metal oxides, carbon-based materials, or other semiconductors, to create heterostructures with enhanced properties. This review summarizes the latest photocatalytic applications of g-C<sub>3</sub>N<sub>4</sub> based nanocomposites toward degradation of MB. The main objective of this study was to evaluate the mechanisms involved and investigate the role of operational parameters. This review ends with kinetics perspective of photocatalytic degradation of MB via g-C<sub>3</sub>N<sub>4</sub> based catalysts and several insights on the future avenues in investigating practical applications of photocatalytic degradation of organic pollutants via g-C<sub>3</sub>N<sub>4</sub> based catalysts.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108595"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-12-05DOI: 10.1016/j.rineng.2025.108324
Maryiam Javed , N. Ibrahim , N. Imran , Lemessa Asefa Eressa
{"title":"Magnetorheology of Carreau–Yasuda fluid driven by ciliary–flagellar mechanisms in curved porous media: Applications in drug delivery and biomedical microfluidics","authors":"Maryiam Javed , N. Ibrahim , N. Imran , Lemessa Asefa Eressa","doi":"10.1016/j.rineng.2025.108324","DOIUrl":"10.1016/j.rineng.2025.108324","url":null,"abstract":"<div><div>This study investigates the peristaltic transport of a Carreau–Yasuda non-Newtonian fluid through a curved porous channel with ciliated walls under the influence of a radial magnetic field. The mathematical formulation is developed in a curvilinear coordinate system to accurately capture the channel’s geometry, while cilia-driven wall motion is represented by a composite waveform of primary and secondary sinusoidal components. The governing equations, incorporating electromagnetic effects via Maxwell’s equations and Ohm’s law together with the Darcy–Brinkman model for porous resistance, are simplified under the assumptions of long wavelength and creeping flow. The resulting fourth-order nonlinear differential equations are solved numerically using MATLAB’s bvp4c solver. The computational results demonstrate that increasing the power-law index and viscosity parameter enhances the pressure gradient while suppressing velocity, whereas higher Weissenberg and Darcy numbers lower flow resistance and reduce pressure rise. The Hartmann number induces magnetic damping, decreasing velocity and elevating pumping pressure. Streamline analysis further reveals the formation of pronounced trapping zones that intensify with increasing elasticity and curvature. These findings provide important insights into the magnetorheological control of non-Newtonian biofluids and have direct implications for biomedical applications such as targeted drug delivery, artificial cilia-based microfluidic pumping, and the design of smart biomedical devices operating in porous and curved environments.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108324"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-12-31DOI: 10.1016/j.rineng.2025.108953
Deyaa M.N. Mahmood , Mudhar A. Al-Obaidi , Oday Z. Jasim , Sura S. Al-Musawi
{"title":"Recent development and performance evaluation of integrated solar dryer and photovoltaic panel: A comprehensive review","authors":"Deyaa M.N. Mahmood , Mudhar A. Al-Obaidi , Oday Z. Jasim , Sura S. Al-Musawi","doi":"10.1016/j.rineng.2025.108953","DOIUrl":"10.1016/j.rineng.2025.108953","url":null,"abstract":"<div><div>This review paper examines the integration of solar dryers with photovoltaic (PV) panels, offering a sustainable and energy-efficient solution for drying agricultural products and preserving food quality. Various kinds of solar dryers including direct, indirect, and hybrid systems are examined while evaluating their performance when integrated to PV panels. PV panels can enhance the efficiency and reliability of solar dryers, especially in remote or off-grid areas, by providing a steady power source for auxiliary systems like fans, sensors, and controllers. Key factors influencing performance, such as temperature, airflow, and humidity, are analysed, alongside advancements in materials and technologies that improve dryer efficiency, comprising phase change materials (PCMs) and heat recovery systems. The results show that an increase in the number of PV collectors can improve thermal energy output from 2.63 to 7.70 kWh/day and electrical energy from 0.23 to 20 kWh/day. Also, the drying time can be reduced by 16.6% to 36.6% using the sun-tracking systems. Specifically, neem leaves assure the reduction of moisture content from 4.56% to 0.07% (dry basis). Finally, the thermal efficiency can be ranged between 43.75% to 54.86% as a consequence to using the hybrid solar dryers. Accordingly, the widespread deployment of such integrated solar technologies is a critical strategy for enhancing food security by drastically reducing post-harvest losses, while simultaneously advancing the objectives of SDG 7 (Affordable and Clean Energy) and SDG 2 (Zero Hunger), particularly in off-grid agricultural communities.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108953"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-12-05DOI: 10.1016/j.rineng.2025.108607
Asan G. A Muthalif , Mohammad Farhan , Issam Bahadur
{"title":"Design strategies and innovations in compliant mechanism-based energy harvesting: A comprehensive review","authors":"Asan G. A Muthalif , Mohammad Farhan , Issam Bahadur","doi":"10.1016/j.rineng.2025.108607","DOIUrl":"10.1016/j.rineng.2025.108607","url":null,"abstract":"<div><div>The growing demand for sustainable, portable, and self-powered devices has accelerated research in vibration energy harvesting (VEH) technologies. VEH provides an efficient means of converting ambient mechanical vibrations into electrical energy, offering a viable power source for low-energy electronic systems, especially in remote or maintenance-free environments. Among various design paradigms, compliant mechanisms have emerged as a promising approach to enhance VEH performance. By exploiting structural flexibility, these mechanisms enable vibration amplification, motion rectification, and reduced mechanical losses, thereby improving energy conversion efficiency even under low-frequency excitations commonly encountered in ambient settings. This comprehensive review focuses on design strategies and innovations in compliant mechanism-based VEH systems. It systematically discusses recent developments across different transduction mechanisms, including piezoelectric, electromagnetic, triboelectric, and hybrid systems integrated with compliant structures. Key design concepts, including resonance tuning, multi-modal excitation, motion amplification, and structural optimization, are analyzed in detail. Furthermore, the review identifies emerging trends in integrating compliant VEH designs with advanced applications, including structural health monitoring, wearable electronics, biomedical implants, and Internet of Things (IoT) devices. By synthesizing recent innovations and highlighting design-oriented insights, this review provides a unified understanding of compliant mechanism-based VEH systems and outlines future directions for achieving higher efficiency, adaptability, and scalability in next-generation energy harvesters.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108607"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}