Insufficient Capacity Research Articles

Cyclic behavior of rubber-coated stud-UHPC shear connectors exposed to reversed cyclic loadings

Steel-ultra-high performance concrete (UHPC) composite structures that could maximize the benefits of two materials have gained ground in bridge structures for accelerating construction speed and reducing self-weight. However, the shear stiffness of ordinary stud connectors (OSCs) in UHPC might exceed the actual demand, leading to the insufficient deformation capacity of OSCs. Therefore, the flexible rubber-coated stud connectors (FRSCs) were developed to replace the OSCs for improving the ductility of shear connectors. The shear performance of FRSCs in UHPC subjected to reversed cyclic loadings has been not understood, which limits its application in the practical construction. The cyclic behavior of FRSCs was examined through modified push-pull test specimens, and the static loading tests were carried out to determine the characteristic slip capacity and shear strength. Numerical models were established to reveal the damage process and failure mechanism of FRSCs and employed to conduct detailed parametric studies. The results demonstrated the FRSCs exhibited high ductility and large energy absorption capacity than OSCs and possessed sufficient shear bearing capacity, indicating their potential application in steel-UHPC composite systems. Increasing the height and thickness of rubber sleeve could enhance the slip capacity of FRSCs under monotonic loadings, while having no effect on the cyclic ductility. Finally, an empirical equation was developed to accurately predict the FRSC shear strength.

Coconut shell waste encased MnFe2O4 for enhanced microwave absorption

Radar systems, communication tools, and stealth technologies are just a few of the many areas that can benefit from microwave absorption materials (MAM). In an effort to promote sustainable and environmentally friendly solutions, researchers have turned their attention to waste materials as a potential resource for the development of efficient microwave (MW) absorbers. In order to lessen the effects of electromagnetic (EM) pollution, ferrites are frequently used as microwave-absorbing materials. However, the insufficient dielectric loss capacity is the fundamental constraint that limits their application. The MnFe2O4 was produced independently, while activated carbon (AC) was created using coconut shell. The MnFe2O4/AC composite was subsequently synthesized using a hydrothermal approach. From the research, the dielectric loss and magnetic loss of the S2 composite operate together. The incorporation of magnetic components contributes to the outstanding magnetic loss ability, while the nano-domain, hopping mechanism of the resonance effect is responsible for the improved dielectric qualities. S2 exhibits a minimum reflection loss of ‐38.4 dB at a thin thickness of 1.8 mm with an effective absorption bandwidth (EAB) of 6.2 GHz at the same thickness from 11.2 to 18 GHz. MnFe2O4/AC shows promise as a novel class of EM absorption materials because of their simple fabrication and high EM dissipation capacity.

Shear Performance and Damage Characterization of Prefabricated Basalt Fiber Reactive Powder Concrete Capping Beam Formwork Structure

Basalt Fiber Reactive Powder Concrete (BFRPC) semi-prefabricated composite capping beam structures can effectively improve the shortcomings of ordinary concrete capping beams' construction difficulties and insufficient bearing capacity. In this study, with the objective of analyzing the shear damage and damage characteristics of a prefabricated BFRPC capping beam formwork, structural damage tests under different levels of loading were carried out to obtain the mechanical parameters of key nodes. Acoustic emission (AE) and Digital Image Correlation (DIC) techniques were used to acoustically and visually characterize the formwork damage. The research results showed that the damage stage of the capping beam formwork was divided, and an early damage warning method was proposed based on the acoustic parameters. Using the DIC technique to identify the crack width evolution pattern during the shear process, it was found that the cracks expanded steadily as the load increased. Combining the experimental and simulation results as well as the Subdivision Superposition Theory, a half-open stirrup strength discount factor β was introduced and suggested to take a value of 0.79. The formula for calculating the shear capacity of BFRPC capping beam formwork is proposed to provide a theoretical basis for its application in prefabricated assembled structures.

Withdrawn: Optimization of water supply reservoir scheduling with insufficient regulating capacity

Withdrawn: Optimization of water supply reservoir scheduling with insufficient regulating capacity

Integrating bimetallic borides with g-C3N4 containing cyanamide defects for efficient photocatalytic nitrogen fixation

The sustainable generation of ammonia by photocatalytic nitrogen fixation under mild conditions is fascinating compared to conventional industrial processes. Nevertheless, owing to the low charge transfer efficiency, the insufficient light absorption capacity and limited active sites of the photocatalyst cause the difficult adsorption and activation of N2 molecules, thereby resulting in a low photocatalytic conversion efficiency. Herein, a novel bimetallic CoMoB nanosheets (CoMoB) co-catalyst modified carbon nitride with dual moiety defects (CN-TH3/3) Schottky junction photocatalyst is designed for photocatalytic nitrogen reduction reaction (NRR). The photocatalytic nitrogen reduction rate of the optimized CoMoB/CN-TH3/3 photocatalyst is 4.81 mM·g−1·h−1, which is 6.2 and 2.2 times higher than carbon nitride (CN) (0.78 mM·g−1·h−1) and CN-TH3/3 (2.21 mM·g−1·h−1), respectively. The excellent photocatalytic NRR performance is ascribed not only to the introduction of dual moiety defects (cyano and cyanamide groups) that extends the visible light absorption range and promotes exciton polarization dissociation, but also to the formation of interfacial electric field between CoMoB and CN-TH3/3, which effectively facilitates the interfacial charge transfer. Thus, the synergistic interaction between CN-TH3/3 and CoMoB further increases the electron numble of CoMoB active sites, which effectively strengthens the adsorption and activation of N2 and weakens the NN triple bond, thereby enhancing the photocatalytic NRR activity. This work highlights the introduced dual moiety defects and bimetallic CoMoB co-catalyst to synergistically enhance the photocatalytic nitrogen reduction performance.

Initiating cationic-anionic chemistry with stepwise surface-to-inner conversion in copper selenide superstructures for high-energy rechargeable magnesium batteries

Copper selenides are viewed as the most capable cathode materials for rechargeable magnesium batteries, yet suffer from unsatisfactory energy density due to their low operating voltage plateau (∼0.9 V vs. Mg/Mg2+) and insufficient reversible capacity. Herein, a stepwise conversion from surface cationic-anionic redox to inside electrochemical displacement reaction is realized in copper selenide (Cu2-xSe) superstructure cathodes. A highly reversible high-voltage platform at ∼1.6 V is discovered during discharge process. Ex-situ spectroscopy and microscopy results demonstrate that the high-voltage plateau is contributed by surface Cu2+ charge-carrier transformation and anionic Se2– redox reaction while sufficient inner Cu-Mg replacement conversion at low-voltage region. Following the favorable mechanism, the Cu2-xSe superstructure cathodes can present high specific capacity of 385.4 mAh g–1 at 0.1 A g–1 and outstanding energy density of 426.3 Wh kg–1. Moreover, the Cu2-xSe superstructure cathodes also maintain a reversible capacity of 223.6 mAh g–1 over 700 cycles with 0.0147 % capacity degradation per cycle at 1.0 A g–1 and long-term charge-discharge lifetime for 3000 cycles at 5.0 A g–1. This research reports a new Mg2+ storage mechanism for copper selenide cathodes and provides novel route to develop high-energy-density rechargeable magnesium batteries.

A H2O2 Self‐Charging Zinc Battery with Ultrafast Power Generation and Storage

AbstractSelf‐charging power systems are considered as promising alternatives for off‐grid energy devices to provide sustained electricity supply. However, the conventional self‐charging systems are severely restricted by the energy availability and time‐consuming charging process as well as insufficient capacity. Herein, we developed an ultrafast H2O2 self‐charging aqueous Zn/NaFeFe(CN)6 battery, which simultaneously integrates the H2O2 power generation and energy storage into a battery configuration. In such battery, the chemical energy conversion of H2O2 can generate electrical energy to self‐charge the battery to 1.7 V through the redox reaction between H2O2 and NaFeFe(CN)6 cathode. The thermodynamically and kinetically favorable redox reaction contributes to the ultrafast H2O2 self‐charging rate and the extremely short self‐charging time within 60 seconds. Moreover, the rapid H2O2 power generation can promptly compensate the energy consumption of battery to provide continuous electricity supply. Impressively, this self‐charging battery shows excellent scalability of device architecture and can be designed to a H2O2 single‐flow battery of 7.06 Ah to extend the long‐term energy supply. This work not only provides a route to design self‐charging batteries with fast charging rate and high capacity, but also pushes forward the development of self‐charging power systems for advanced large‐scale energy storage applications.

A H2O2 Self-Charging Zinc Battery with Ultrafast Power Generation and Storage.

Self-charging power systems are considered as promising alternatives for off-grid energy devices to provide sustained electricity supply. However, the conventional self-charging systems are severely restricted by the energy availability and time-consuming charging process as well as insufficient capacity. Herein, we developed an ultrafast H2O2 self-charging aqueous Zn/NaFeFe(CN)6 battery, which simultaneously integrates the H2O2 power generation and energy storage into a battery configuration. In such battery, the chemical energy conversion of H2O2 can generate electrical energy to self-charge the battery to 1.7 V through the redox reaction between H2O2 and NaFeFe(CN)6 cathode. The thermodynamically and kinetically favorable redox reaction contributes to the ultrafast H2O2 self-charging rate and the extremely short self-charging time within 60 seconds. Moreover, the rapid H2O2 power generation can promptly compensate the energy consumption of battery to provide continuous electricity supply. Impressively, this self-charging battery shows excellent scalability of device architecture and can be designed to a H2O2 single-flow battery of 7.06 Ah to extend the long-term energy supply. This work not only provides a route to design self-charging batteries with fast charging rate and high capacity, but also pushes forward the development of self-charging power systems for advanced large-scale energy storage applications.

Hospital Oxygen Supply Overwhelmed Due to COVID-19: When Demand Exceeds Supply.

During the first wave of COVID-19, we experienced problems with our hospital oxygen supply system. This study aimed to analyze factors that stressed this system and rethink the design criteria of the gas pipeline system considering the varying oxygen demand. A retrospective study was conducted to describe problems that occurred at different stages in the oxygen supply system at our hospital due to increases in oxygen use in general, and the creation of an intermediate respiratory care unit (IRCU) and use of high-flow nasal cannula (HFNC) in particular. Herein, the characteristics and design criteria of the medical gas pipeline system are analyzed, and the steps taken to avoid future problems are outlined. Increases in oxygen use were observed at times of maximum occupancy, and these created vulnerabilities in the oxygen supply due to insufficient capacity in terms of cryogenic tanks, evaporators, and the piping network. The peak consumption was 3 times higher than the peak in the preceding 4 years. The use of HFNC therapy aggravated the problem; IRCU use accounting for as much as two-fifths of the total across the hospital. Steps taken subsequently prevented the recurrence of vulnerabilities. The design criteria for storage and distribution networks of medical gases in hospitals need to be revised considering new parameters for their implementation and the use of HFNC therapy in an IRCU. In particular, the cryogenic tanks, evaporators, and piping network for hospital wards are critical.

Development and mechanism research of hydrophobic associative polymer drag reducing agents

ABSTRACT The challenge of insufficient proppant transportation capacity in slick water remains unresolved. To tackle this concern, a hydrophobically associating water-soluble polymer (HAWP), characterized by a low molecular weight (MW) of 8.11 × 105 g/mol, was successfully synthesized via a photo-initiation method. The drag reduction mechanism of the material was characterized through nuclear magnetic resonance and rheological performance testing. The drag reduction mechanism of the material was characterized through nuclear magnetic resonance and rheological performance testing. The results show that in comparison to conventional drag reducers in slick water with an average MW of approximately 1 × 107 g/mol, HAWP demonstrates significantly reduced MW. The rheological test results indicate that upon addition of sodium dodecyl benzene sulfonate (SDS, 200 mg/L) to the HAWP solution (0.3 wt%), the storage modulus experienced a substantial increase from 0.14 Pa to 7.42 Pa, demonstrating enhanced mechanical properties. Meanwhile, drag reduction (DR) tests showed that the efficiency of drag reduction achieved by the polymer system (PS) drag reducer was comparable to that of conventional linear polymers. This research achievement effectively addresses the challenges of low molecular weight and resistance reduction encountered in previous endeavors.

Evaluating Community Forest User Groups (CFUGs)’ Performance in Managing Community Forests: A Case Study in Central Nepal

The community forests (CF) in Nepal, facilitated by Community Forest User Groups (CFUGs), is widely recognized as an effective model of community-based forest management. Despite this recognition, there is a notable lack of comprehensive studies assessing the performance of CFUGs in sustaining community forests. Addressing this gap, this study examined twenty-two indicators across five performance criteria, such as user group management, forest management, financial management, livelihood management, and collaboration and networking management, within four CFUGs in central Nepal. Data were collected through household surveys (n = 275) and focus group discussions (n = 4), and indicators of performance criteria were assessed using a Likert scale. Reliability was measured using the coefficient of Cronbach’s alpha. ANOVA was employed to compare mean performance criteria across the four CFUGs, providing an evaluative perspective on overall CFUG performance. The findings underscored collaboration and networking management as high performers, showing an index value of 0.71, while user group management exhibited moderate performance with an index value of 0.56, alongside other moderately performing criteria. Noteworthy disparities were evident across the four performance criteria (p < 0.01), with the exception of collaboration and network management. Approximately 55% of the indicators were rated low to moderate, revealing CFUGs’ deficiencies in regular functions, limited uptake of adaptive and market-oriented management practices, minimal contributions to biodiversity conservation, insufficient capacity for forest revenue generation and mobilization, and restricted income generation and benefit-sharing with communities. The absence of timely and pertinent actions further stifled interaction between CFUGs and community forests, undermining the potential for revenue generation, job creation, and collective actions essential for productive community forest management. Prioritization of the indicators based on the performance index value offers critical policy direction to ensure CFUG sustainability and augment participatory management of common pool resources. Strategies to address identified weaknesses and build on strengths are essential for the success of Nepal’s community forests.

ROOT ZONE TECHNOLOGY FOR WASTE WATER TREATMENT

In India, the primary cause of surface and ground water pollution is the discharge of untreated sewage, according to a 2007 study by the Central Pollution Control Board. In India, there is a significant delay between the generation and treatment of household wastewater. India's insufficient treatment capacity is not the only issue; there are also sewage treatment plants that exist, but they are not being maintained or operated. Because of poor design, inadequate maintenance, unreliable electricity supplies, absentee staff, and incompetent management, the majority of government-owned sewage treatment plants remain closed for the most part of the year. Usually, the wastewater produced in these places evaporates or percolates into the soil. Uncollected waste builds up in urban areas, releasing pollutants that seep into surface and groundwater and creating unsanitary conditions. Furthermore, industrialists prefer not to treat the waste produced and instead to dump it untreated into rivers in the areas where these treatment plants are located because the cost of treatment is so high.The Root Zone Treatment System (RZTS), sometimes referred to as the reed bed system or the constructed wetland system, is a sealed filter bed that is planted with vegetation that can grow in wetlands and is made up of a sand, gravel, and soil system, sometimes with a cohesive element. The wastewater flows through the filter bed, where biodegradation of the wastewater occurs, after the coarse and floating material has been removed. Complex physical, chemical, and biological processes that are the outcome of the interaction of wastewater, wetland plants, filter bed material, and microorganisms define the functional mechanisms in the soil matrix that are in charge of the mineralization of biodegradable matter.

Bayesian optimization-enhanced ensemble learning for the uniaxial compressive strength prediction of natural rock and its application

Engineering disasters, such as rockburst and collapse, are closely related to structural instability caused by insufficient bearing capacity of geological materials. Uniaxial compressive strength (UCS) holds considerable significance in rock engineering projects. Consequently, this study endeavors to devise efficient models for the expeditious and economical estimation of UCS. Using a dataset of 729 samples, including the Schmidt hammer rebound number, P-wave velocity, and point load index data, we evaluated six algorithms, namely Adaptive Boosting (AdaBoost), Gradient Boosting Decision Tree (GBDT), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), Random Forest (RF), and Extra Trees (ET) and utilized Bayesian Optimization (BO) to optimize the aforementioned algorithms. Moreover, we applied model evaluation metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Variance Accounted For (VAF), Nash-Sutcliffe Efficiency (NSE), Weighted Mean Absolute Percentage Error (WMAPE), Coefficient of Correlation (R), and Coefficient of Determination (R2). Among the six models, BO-ET emerged as the most optimal performer during training (RMSE ​= ​4.5042, MAE ​= ​3.2328, VAF ​= ​0.9898, NSE ​= ​0.9898, WMAPE ​= ​0.0538, R ​= ​0.9955, R2 ​= ​0.9898) and testing (RMSE ​= ​4.8234, MAE ​= ​3.9737, VAF ​= ​0.9881, NSE ​= ​0.9875, WMAPE ​= ​0.2515, R ​= ​0.9940, R2 ​= ​0.9875) phases. Additionally, we conducted a systematic comparison between ensemble and traditional single machine learning models such as decision tree, support vector machine, and K-Nearest Neighbors, thus highlighting the advantages of ensemble learning. Furthermore, the enhancement effect of BO on generalization performance was assessed. Finally, a BO-ET-based Graphical User Interface (GUI) system was developed and validated in a Tunnel Boring Machine-excavated tunnel.

Association between stringency of lockdown measures and emergency department visits during the COVID-19 pandemic: A Dutch multicentre study.

The COVID-19 outbreak disrupted regular health care, including the Emergency Department (ED), and resulted in insufficient ICU capacity. Lockdown measures were taken to prevent disease spread and hospital overcrowding. Little is known about the relationship of stringency of lockdown measures on ED utilization. This study aimed to compare the frequency and characteristics of ED visits during the COVID-19 outbreak in 2020 to 2019, and their relation to stringency of lockdown measures. A retrospective multicentre study among five Dutch hospitals was performed. The primary outcome was the absolute number of ED visits (year 2018 and 2019 compared to 2020). Secondary outcomes were age, sex, triage category, way of transportation, referral, disposition, and treating medical specialty. The relation between stringency of lockdown measures, measured with the Oxford Stringency Index (OSI) and number and characteristics of ED visits was analysed. The total number of ED visits in the five hospitals in 2019 was 165,894, whereas the total number of visits in 2020 was 135,762, which was a decrease of 18.2% (range per hospital: 10.5%-30.7%). The reduction in ED visits was greater during periods of high stringency lockdown measures, as indicated by OSI. The number of ED visits in the Netherlands has significantly dropped during the first year of the COVID-19 pandemic, with a clear association between decreasing ED visits and increasing lockdown measures. The OSI could be used as an indicator in the management of ED visits during a future pandemic.

Experimental investigation of photoelectrical performance and thermal characteristics of ventilated building-integrated photovoltaic system utilizing lightweight and flexible crystalline silicon module

The existing large-scale of industrial buildings with lightweight insulated roofing structures presents a challenge for traditional glass crystalline silicon photovoltaic (PV) systems due to insufficient load-bearing capacity. Meanwhile, traditional PV rooftop applications also face challenges due to limited rooftop resources. To address these issues, this study proposes a ventilated building-integrated lightweight photovoltaic (VL-BIPV) system. The VL-BIPV system incorporates lightweight and flexible crystalline silicon modules, which increase rooftop load by about 6 kg/m2. Additionally, the system features a ventilation channel design to enhance thermal management performance. To evaluate the PV performance and thermal characteristics of the proposed system, an experimental setup was implemented to compare the performances of the VL-BIPV system with a building-attached lightweight photovoltaic (L-BAPV) system that utilizes color steel sheet base plates. The results demonstrate the exceptional performance of VL-BIPV system, with a 100.56% higher ratio of the product of short-circuit current and open-circuit voltage compared to L-BAPV. Moreover, the VL-BIPV system achieved a 1.77% increase in PV efficiency and a 2.35% enhancement in daily electricity generation. In hot weather, the adoption of VL-BIPV reduced the extreme temperature of PV cells by 9.23 °C below 85 °C, surpassing the 6.29 °C reduction achieved by L-BAPV system. Furthermore, the ventilation channel exhibited a gradual temperature increase with slower changes in the flow direction, while the base plate temperature decreased by 13.41 °C, which indicates that VL-BIPV can effectively reduce solar heat gain in the building envelope and improve the indoor thermal environment. The research findings provide important guidance for promoting and applying VL-BIPV technology in large-scale industrial buildings with low rooftop load-bearing capacity, thereby promoting the production and utilization of clean electricity in industrial parks.

Thermodynamic analysis of temperature boosting of hot primary air in an ultra‐supercritical lignite‐fired power plant: Scheme comparison and performance enhancement

AbstractLignite‐fired boilers usually encounter the insufficient drying capacity of the pulverizer due to the inherent drawback of high moisture content in fuel. In this study, four schemes of heat sources for temperature boosting of hot primary air are proposed for an ultra‐supercritical large‐scale single reheat lignite‐fired power plant according to heat sources such as inlet flue gas of air preheater (Scheme 1), the third stage extraction steam (Scheme 2), outlet steam of low‐temperature reheater (Scheme 3), and inlet flue gas of economizer (Scheme 4). The thermodynamic system models are built by using EBSILON Professional software. The thermodynamic performance of the four schemes is analyzed and compared from the perspectives of the first and second laws of thermodynamics. First law analysis indicates that the power generation standard coal consumption of Scheme 3 is reduced by 0.87, 0.42, and 0.04 g·kW−1·h−1 compared with Schemes 1, 2, and 4, respectively. Second law analysis indicates that the exergy loss of Schemes 2–4 is 3.7, 7.6, and 7.5 MW lower than that of Scheme 1. The present study may provide guidance for the energy efficiency improvement of lignite‐fired power plants.

Mechanical and Geotechnical Behaviour of Improved Sandy Clay Soil for Road Pavements in Offshore Sedimentary Basins

Road projects require a lot of earthworks. Sometimes, the soil in place has an insufficient bearing capacity; hence, the need to look for soil with required specifications. When a material is too far from the construction site, its transportation costful and time spending to the project. In offshore sedimentary basins, materials mostly available are sandy clay soils. This paper focuses on the improvement of the bearing capacity of sandy clay soil for different road pavements. Two solutions were investigated: lithostabilisation of sandy clay soil with volcanic rocks and cement stabilisation at different percentage in various curing conditions. Physical, geotechnical and mechanical properties were assessed on samples. It was found that, at 25% mix with volcanic gravel, sandy clayed soils are useable for the T2-T3 subbase layer and at 35% the mix can be stabilised with cement for the T2-T3 base and T4-T5 subbase layers. 4% cement dosage is the optimum for the three pavement layers. This dosage can be reduced to 2% for the T2-T3 subbase, if the negative impacts from environmental waters are counteracted. With a close look on the respect of prescribed procedures, sandy clayed soils in offshore sedimentary basins are useable for the construction of pavement layers.

Research on the Healthy Development of China's Digital Economy

With the rapid development of information technology, digital economy has made great progress in China. However, the healthy development of digital economy faces a series of problems and challenges. This paper analyses the current development of China's digital economy by sorting out the concepts and characteristics of digital economy, discusses the problems facing the development of China's digital economy, and puts forward corresponding countermeasures and suggestions. The study finds that although the development of China's digital economy has made remarkable achievements, there are still problems such as imperfect infrastructure, insufficient innovation capacity, imperfect policies and regulations, and security risk challenges. In order to promote the healthy development of China's digital economy, it is necessary to strengthen the construction of digital economy infrastructure, enhance the innovation capacity of the digital economy, improve digital economy policies and laws and regulations, and strengthen the security of the digital economy. Meanwhile, the healthy development of China's digital economy faces both prospects and challenges. Against the backdrop of China's economic transformation and upgrading, the digital economy will become an important force driving economic development, but it also needs to deal with the challenges of technological change, data privacy protection and talent training.

Multidisciplinary design and optimization of journal bearing for high-power wind turbine speed increaser

With the increasing power of wind turbine generators (WTG), the failure rate of rolling bearings in wind turbines due to insufficient bearing capacity increases with the increase of bearing size. To overcome these challenges, this paper proposes a design optimization method for the rectangular groove elliptical sliding bearing (RGEB) of the WTG output shaft. This method can maximize the radial bearing capacity under the premise of ensuring that the oil film pressure is large, the end leakage and the temperature rise are small. The multidisciplinary design and modeling of RGEB are carried out according to the structure and working conditions of WTG. Based on computational fluid dynamics (CFD), the influence of the number of rectangular dynamic pressure grooves on the bearing performance is analyzed. The kriging model, BP neural network model, and SSA-BP model are constructed for each performance index of RGEB, to establish a high-precision combined surrogate model based on global error criterion. After establishing the optimization equation, the PSO and SQP combined optimization algorithm is used to optimize the optimal structural parameters. The results show that the bearing capacity of the optimized RGEB is 95.9% higher than that of the ordinary elliptical bearing (EB) without increasing the size and quality of the bearing. In addition, the combined surrogate model can effectively replace the expensive finite element model to deal with the WTG sliding-bearing optimization problem.

Experimental Study on Mechanical Properties of Reinforced Soil and Frame Beam Anchor Combination System

To address issues with excessive displacement, deformation, and insufficient load bearing capacity in high-fill-reinforced soil-retaining walls, a novel reinforced soil–frame anchor combination system was developed. Despite the limited existing research on its mechanical properties and synergy, a physical model test was conducted to investigate the system’s behavior. The test focused on the horizontal displacement of the frame beam wall, grid strain, wall back earth pressure, and anchor strain. Results indicated that anchor prestress effectively controlled horizontal deformation, limiting it to 65% of the original displacement value. Additionally, as the top load increased, strain in the bottom bars showed minor changes, while strain in the middle and upper bars exhibited significant sensitivity to load variations. The application of anchor prestress reduced strain in each reinforcement layer, enhancing the geogrid’s load bearing capacity. Furthermore, anchor prestress altered the distribution of earth pressure within the system, establishing a synergistic relationship between reinforced soil and frame beam anchors. This stress transfer mechanism improved overall system performance, as demonstrated in the test. Overall, the study confirmed the benefits and superior performance of the combined system.