Mechanical Analysis Research Articles

Light harvesting S-scheme g-C3N4/TiO2/M photocatalysts for efficient removal of hazardous moxifloxacin

The development of advanced photocatalysts with enhanced efficiency for environmental remediation is critical for addressing persistent organic pollutants like Moxifloxacin. In this study, we present a novel S-scheme heterojunction g-C3N4/TiO2/M photocatalyst designed to optimize light harvesting and charge separation for the effective degradation of Moxifloxacin. The innovative S-scheme configuration enables superior charge transfer dynamics by retaining potent photogenerated electrons in the conduction band of TiO2 and holes in the valence band of g-C3N4, significantly improving photocatalytic performance compared to conventional Type-II systems. Heterogeneous photocatalysis, particularly using TiO2-based materials, offers a promising approach. Here, we synthesized TiO2 hybridized with metal-doped g-C3N4 (GCNTM) via a simple hydrothermal method. The fabricated nanocomposites were characterized using SEM, XRD, FTIR, and UV–Vis (DRS). These GCNTM nanocomposites were employed for the degradation of hazardous Moxifloxacin (MXF) under visible light. Detailed analysis of the photocatalytic mechanism reveals that the synergistic interaction between g-C3N4, TiO2, and the co-catalyst M not only broadens the light absorption spectrum but also enhances the separation and lifespan of charge carriers. Among the synthesized materials, GCNTLa demonstrated the highest degradation efficiency, achieving 96 % removal of MXF. This enhanced activity is attributed to the effective suppression of charge recombination, leading to the generation of reactive species responsible for MXF degradation. Additionally, GCNTM showed remarkable stability and reusability, with only a 6 % reduction in efficiency after five cycles, confirming its high reusability and mechanical stability. Our S-scheme photocatalyst demonstrates a marked increase in the degradation rate of Moxifloxacin under visible light irradiation, highlighting its potential for practical environmental applications.

An analysis of trust governance mechanism in airline-airport relationship with resource dependence theory and transaction cost theory perspectives

Developments have transformed airport operations into more commercially focused centers in the airport sector. This situation has raised the question of how to execute interdependent airport-airline relationships. In interdependent relationships, trust-based governance is the least costly governance structure and is crucial for fostering cooperation in long-term relationships. Trust-based governance is a management approach where relationships and decisions are guided by mutual trust, transparency, and collaboration between parties. When considering the nature of the relationship, it is observed that environmental uncertainty and asset specificity are high. Transaction cost theory suggests that trust governance mechanisms can be the least costly governance structure under high uncertainty and asset specificity. Similarly, resource dependency theory indicates that in situations with high environmental uncertainty, dependencies can be managed through trust governance mechanisms. Therefore, this study analyzes the trust governance mechanism in airport-airline relationships. Drawing from the perspectives of resource dependency theory and transaction cost theory, this research analyzes the trust governance mechanism in airport-airline relationships using case studies of Turkish Airlines and Istanbul Airport relationship is governed by contract-based trust, while the Pegasus Airlines and Istanbul Sabiha Gokcen Airport relationship is based on goodwill-based trust. It can be argued that the history of the airport-airline relationship and the belief in the continuity of the relationship have a positive impact on trust.

Structure design and analysis of circle wheel angle fine-tuning mechanism

Structure design and analysis of circle wheel angle fine-tuning mechanism

The analysis of damage mechanisms and vibration effects caused by cut blasting under various void shapes

The effect of the void shape on cut blasting is investigated by establishing a damage analysis model for a void using an improved calculation formula for stress on the wall of the void. Additionally, an optimization scheme is provided for the “square void cutting theoretical model.” The vibration effect of the rock mass outside the excavation area is simultaneously monitored, and its validity is substantiated through experimental and simulation-based verification. The findings indicate that the variation of q2sinθ over time aligns with the dynamic loading process of wall stress in holes. Under the influence of longitudinal waves, thin-walled circular damage occurs, and tensile effects from reflected waves are influenced by impedance. In a square void cutting model, two-stage stress waves cause tensile shear damage and inward collapse in the rock mass along hole walls. The explosive energy generated by square holes significantly contributes to fragmentation of rock masses. The circular empty-hole cutting model generates significant vibrations in central areas due to resistance. Vibration velocity in 45° direction for circular holes is lower than that for square voids outside cuts while vibration velocity remains equivalent between circular and square holes at 90° direction.

Analysis and evaluation of multi-state wear mechanism of elastic-flexible thin-walled bearings

EFTWBs (Elastic-flexible thin-walled bearings) are mainly used in harmonic reducers. Under the condition of large reduction ratio and cyclic rotation, LFW (linear fretting wear), CFW (curve fretting wear) and CRF (complete rolling friction) appear in the bearing raceway. In this study, LFW and CFW experiments were carried out, and the relationship between coefficient of friction and surface hardness was analyzed. Meanwhile, the multi-dimensional analysis (surface hardness, residual stress, surface/subsurface retained austenite) of the raceway surface integrity of EFTWBs after 8000 h of high service was analyzed. Combined with the manufacturing process of EFTWBs and the above conclusions, the multi-state wear mechanism of raceway was comprehensively evaluated. The evaluation conclusions show that the raceway of EFTWBs contained CRF (including pitting and spalling) and sliding fretting wear (including LFW and CFW). The axial and tangential residual stresses of the untested and tested outer and inner ring raceways were compressive stresses. Grain delamination appeared on the tested outer and inner ring raceway subsurface (20 µm from the surface). The wear of the outer ring raceway of EFTWBs was greater than that of the inner ring, and the wear was multiple. A 430 nm nanocrystalline layer was found under FIB-TEM on the surface layer of the outer ring raceway, and the fracture and obvious dislocation appeared. The rolling-sliding wear mechanism of EFTWBs raceway was comprehensively evaluated. The accuracy of this analysis was verified by combining thin-walled ring and Hertz theories. There are many detailed conclusions which provide theoretical support and data analysis for relevant manufacturers of harmonic reducer and robot EFTWBs.

Macrogenomic analysis of tolerance and degradation mechanisms of polycyclic aromatic hydrocarbon in carbon and nitrogen metabolic pathways and associated bacterial communities during endogenous partial denitrification

The effective production of NO2−-N through endogenous partial denitrification (EPD) provides a promising perspective for the broader adoption and application of anaerobic ammonia oxidation. However, the accumulation of polycyclic aromatic hydrocarbons (PAHs) in the environment may worsen the operational challenges of the EPD system. This study evaluated the resilience of the EPD system to the toxic impacts of phenanthrene (PHE) and anthracene (ANT) through macrogenomic analysis. A control group was maintained under identical conditions for comparison. The results revealed that PHE and ANT had a relatively minimal impact on NO3−-N transformation and organic matter removal but significantly affected PO43−-P removal and NO2−-N accumulation in the EPD process. The PHE system achieved a higher NO2−-N accumulation, with a maximum NO3−-N to NO2−-N conversion ratio of 90.08%. In contrast, the ANT system exhibited higher efficiency in the PO43−-P removal, achieving a peak removal rate of 74.94%. Macrogenomic analysis revealed that PAHs significantly enriched both denitrifying glycogen-accumulating organisms (including Candidatus_Competibacter) and denitrifying polyphosphate-accumulating organisms (such as Thauera, Candidatus_Contendobacter, and Candidatus_Accumulibacter). This enrichment stabilized these organisms, facilitating NO2−-N accumulation and PO43−-P removal. Metabolic pathway analysis indicated that PHE promoted the enrichment of NO3−-N reductase and inhibited NO2−-N reductase activity. However, ANT stimulated oxidative phosphorylation and the phosphate cycle. Moreover, PAH metabolites enhanced the expression of key genes encoding succinate dehydrogenase and isocitrate dehydrogenase in the tricarboxylic acid cycle within the EPD process, leading to increase the synthesis and utilization of acetyl coenzyme-A. Notably, significant differences were observed between the effects of PHE and ANT on these metabolic processes. This study provides new methods for treating PAH-containing wastewater through the combination of EPD and anaerobic ammonia oxidation.

Broadband low radar cross section frequency selective surface radome based on phase cancellation and spatial filtering

AbstractThis letter introduces a novel design approach for broadband radar cross section (RCS) reduction of frequency selective surface (FSS) radomes. The approach integrates the principles of phase cancellation and spatial filtering together through a hybrid design method. The phase cancellation is obtained through the checkerboard arrangement of units, and the spatial filtering characteristics is achieved by the slot etched on the ground plane. Experimental and simulation results demonstrate that etching slots on the ground plane maintains broadband in‐phase reflection and bandpass characteristics, thereby extending the bandwidth of RCS reduction through a combination of two operation bands. Theoretical analysis of the working mechanism is also provided using equivalent circuit models. In comparison to the conventional radomes, the proposed FSS radome achieves significant bandwidth improvement for RCS reduction, indicating that it has promising prospects in future low‐RCS radome applications.

Bta-miR-224 regulates milk fat metabolism by targeting FABP4 in bovine mammary epithelial cells

Milk fat is produced and secreted by the mammary gland, which is mainly regulated by diet and gene-molecule network. Therefore, understanding the molecular mechanism of milk fat synthesis is of practical significance for improving milk quality. Fatty acid-binding protein 4 (FABP4) is a candidate messenger RNA (mRNA) closely linked to milk fat metabolism obtained from transcriptomic analysis of mammary epithelial cells of cows in the pre-existing high- and low-milk-fat groups, and its expression pattern and function are still unclear. The qRT-PCR results depicted that FABP4 was highly expressed in bovine mammary epithelial cells (BMECs) in breast tissues and the high milk fat group. Subsequently, the regulatory effects of FABP4 on BMECs were analyzed by CCK8, EdU, and flow cytometry, and the results demonstrated that FABP4 inhibited the proliferation and viability of BMECs and promoted their apoptosis. Next, the effect of FABP4 on milk lipid metabolism was explored. pEGFP-N1-FABP4 was transfected into BMECs, and FABP4 upregulated the expression levels of the milk lipid marker genes XDH, PPARG, and ACSS2, and promoted the formation of triglycerides (TGs), cholesterol, lipid droplets, and β-casein. Strong interactions between FABP4 and PPARG were identified using STRING prediction. Western blotting revealed that FABP4 interacted with PPARG to promote PPARG expression, while the opposite result was observed after interfering with FABP4. The gene regulation of microRNA (miRNA) is essential for fatty acid metabolism and synthesis. Predicted by website and combined with pre-miRNA transcriptome sequencing results, we hypothesized that FABP4 might be the target gene of bta-miR-224. The results of the dual-luciferase reporter gene and qRT-PCR revealed that bta-miR-224 negatively regulated FABP4 expression by targeting the 3′-UTR of FABP4. By exploring the function of bta-miR-224, we observed that bta-miR-224 mimics downregulated the expression of the milk fat marker genes AGPAT6, ACSS2, and XDH and inhibited TG synthesis and lipid droplet secretion. However, the bta-miR-224 inhibitor depicted the opposite results. In conclusion, FABP4 plays a crucial role in regulating BMEC proliferation and differentiation. Bta-miR-224 targeting FABP4 may promote biological processes such as TG synthesis and lipid droplet formation through PPARG, which lays a solid foundation for further analysis of the functional mechanism of milk lipid metabolism in dairy cows from a miRNA-mRNA perspective.

Error analysis of a coaxis five-bar parallel mechanism

Abstract With societal advancement, robots are increasingly being deployed in production processes. Currently, high-precision robots predominantly found in the market are delta parallel robots. Common parallel robots, including delta robots, generally suffer from the drawback of having a smaller workspace compared to serial robots. Contrasted with other types of parallel robots, coaxis parallel robots feature a larger workspace, thereby offering greater potential for application. This paper focuses on a coaxis five-bar parallel mechanism as the subject of investigation. Firstly, by employing the perturbation method to model the errors in the parallel mechanism, a mapping relationship between error sources and the errors of the mechanism’s end-effector was derived. Then a sensitivity analysis of each error source was performed statistically, yielding sensitivity metrics. Last, under conditions where the magnitudes of errors are identical, the end-effector error of a coaxis parallel mechanism is notably larger compared to that of a common parallel mechanism. This makes it more essential to conduct precision design on coaxis parallel robots in the future study.

Neurobiological Insights Into Cerebral Palsy: A Review of the Mechanisms and Therapeutic Strategies.

Cerebral palsy (CP) is a common neurodevelopmental disorder characterized by impaired mobility and posture caused by brain injury or abnormal development. CP relates to a variety of neurological mechanisms and pathways that impact the type and severity of motor disability, as well as comorbidities. The heterogeneity in clinical phenotype, pathogenesis, and etiology poses significant challenges for effective therapeutic intervention. The review aims to provide a comprehensive analysis of the neurobiological mechanisms underlying CP and evaluate current and prospective therapeutic strategies, highlighting the necessity for targeted interventions to address the disorder's multifaceted nature. A thorough literature review was conducted, focusing on studies published in peer-reviewed journals that explore the pathophysiological mechanisms, clinical interventions, and therapeutic strategies for CP. The pathogenesis of CP involves a complex interplay of genetic, environmental, and perinatal factors leading to brain injury. Inflammatory processes, oxidative stress, and excitotoxicity are critical in CP development. Current therapeutic approaches primarily focus on symptom management through physical and occupational therapy, as well as pharmacological interventions. Emerging therapies, including anti-inflammatory agents, antioxidants, and neuroprotective and neurotrophic agents, show potential but require further validation. Notably, although steroids provide anti-inflammatory benefits, their use in pediatric patients raises concerns regarding long-term adverse effects such as osteoporosis. Despite advances in understanding CP's neurobiological underpinnings, effective therapeutic targets remain elusive. A comprehensive approach addressing CP's heterogeneity is essential. Future research should emphasize in-depth evaluations of the efficacy and safety of therapeutic agents, particularly in pediatric populations, to develop targeted and effective treatments for CP.

Civil Disputes and Civil Litigation: Analysis of Concepts, Characteristics and Resolution Mechanisms

This article discusses the basic concepts and characteristics of civil disputes and civil litigation and their resolution mechanisms, and analyzes the characteristics and resolution of different types of civil disputes, such as contract disputes and tort disputes. The article also describes in detail the civil litigation procedures, including the various aspects of prosecution and filing, trial procedures and enforcement procedures. It further discusses the background and motivation of the reform of the civil litigation system, as well as the content of the reform, such as the simplification of trial procedures, the application of electronic litigation and the improvement of the enforcement mechanism. Finally, the article looks forward to the development trend of the civil litigation system, including informationization and intelligence, the promotion of diversified dispute resolution mechanism and its institutional guarantee. Through these discussions, it aims to enhance judicial efficiency and fairness, and to meet the modern society's demand for fast and fair resolution of civil disputes.

Mode I crack propagation in polydimethylsiloxane-short carbon fiber composites

This paper presents a comprehensive analysis of reinforcement toughening and failure mechanisms in polydimethylsiloxane (PDMS)-carbon fiber (CF) composites employing an approach combining experiments and numerical simulations. Through a series of meticulously designed mechanical experiments, the behavior of the composite material under varying conditions is thoroughly examined. The introduction of CFs enhances the stiffness of the material while also leading to debonding and an increased Mullins effect. A constitutive model replicating the observed reinforcement and damage behavior is implemented. Our investigation extends to the analysis of crack growth through both numerical simulations and microscopic morphological examinations. A cohesive zone model is subsequently utilized to simulate crack propagation, providing enhanced understanding of the relationship between structural characteristics and mechanical behaviors. The process of crack propagation subjects the materials to cycles of loading and unloading, highlighted by the reinforcing action of CF pinning and stress transfer, alongside toughening mechanisms attributed to a variety of dissipative processes: interfacial debonding damage, energy loss due to CF pull-out, the Mullins effect, and viscous energy dissipation. This study elucidates the complex mechanical interplay within PDMS-CF composites and suggests pathways for their design optimization, significantly broadening their applicability in numerous domains.

Research progress on 5-hydroxymethylfurfural electrocatalytic or photocatalytic oxidation coupling with hydrogen production

Biomass and hydrogen serve as crucial alternatives to fossil fuels, addressing climate change and the shortage of fossil fuels. Hydrogen offers high energy density and emits no carbon, while biomass is abundant and renewable. Nevertheless, green hydrogen production via electrocatalysis or photocatalysis faces challenges such as slow kinetics and low efficiency. Oxidation catalysis of biomass derivatives, particularly 5-hydroxymethylfurfural (HMF), has the potential to substitute for the oxygen evolution reaction (OER) in hydrolysis, leading to a significant increase in hydrogen evolution and the production of valuable products such as 2,5-diformylfuran (DFF), 5-hydroxymethyl-2-furancarboxylic acid (HMFCA), and 2,5-furan dicarboxylic acid (FDCA). This review explores recent advancements in electrocatalytic, photocatalytic, and photoelectrocatalytic HMF oxidation coupled with hydrogen production. This study provides a theoretical basis and practical guidance for catalyzing HMF oxidation coupled with hydrogen production through a detailed analysis of the reaction mechanism of HMF oxidation coupled with hydrogen generation and the performance of bifunctional catalysts.

NADPHnet: a novel strategy to predict compounds for regulation of NADPH metabolism via network-based methods.

Identification of compounds to modulate NADPH metabolism is crucial for understanding complex diseases and developing effective therapies. However, the complex nature of NADPH metabolism poses challenges in achieving this goal. In this study, we proposed a novel strategy named NADPHnet to predict key proteins and drug-target interactions related to NADPH metabolism via network-based methods. Different from traditional approaches only focusing on one single protein, NADPHnet could screen compounds to modulate NADPH metabolism from a comprehensive view. Specifically, NADPHnet identified key proteins involved in regulation of NADPH metabolism using network-based methods, and characterized the impact of natural products on NADPH metabolism using a combined score, NADPH-Score. NADPHnet demonstrated a broader applicability domain and improved accuracy in the external validation set. This approach was further employed along with molecular docking to identify 27 compounds from a natural product library, 6 of which exhibited concentration-dependent changes of cellular NADPH level within 100 μM, with Oxyberberine showing promising effects even at 10 μM. Mechanistic and pathological analyses of Oxyberberine suggest potential novel mechanisms to affect diabetes and cancer. Overall, NADPHnet offers a promising method for prediction of NADPH metabolism modulation and advances drug discovery for complex diseases.

Constructing AlOOH-PVA/ZIF-67/AgCl/Ag composite membrane for the efficient photodegradation of organic pollutants under visible light irradiation

This study effectively fabricated photocatalytic membranes (∼5 cm diameter) assembled by γ-AlOOH-PVA (BOP) decorated heterostructural ZIF-67/AgCl/Ag composites by combing seeded secondary growth and photoreduction methods. First, the ZIF-67-seeded BOP membrane was shaped in a petri dish, followed by submerging in a 2-methylimidazole ligand for secondary growth to obtain the BOP/ZIF-67 membrane. Next, AgCl/Ag was formulated on the membrane by dipping it in an AgNO3 solution, followed by a photoreduction under visible LED light, resulting in a BOP/ZIF/AgCl/Ag membrane. The characterization showed that the membrane contained heterostructures of ZIF-67/AgCl/Ag anchored onto the BOP membrane. The BOP/ZIF/AgCl/Ag composite membranes exhibited enhanced light absorption and appeared the localized surface plasmon resonance (LSPR) of Ag0, giving it a bandgap energy of ∼2.10 eV. Photodegradation under visible LED light irradiation showed that the BOP/ZIF/AgCl/Ag membrane efficiently removed tetracycline (TC) and Rhodamine B dye (RhB) with corresponding degradation efficiency of ∼99% (90 min) and ∼95% (140 min), giving reaction rates of ∼0.046 min−1 and 0.019 min−1, respectively. The photocatalytic mechanism and photodegradation pathways analyses provided insights into the degradations of organic pollutants. Significantly, the designed BOP/ZIF/AgCl/Ag membrane quickly recovered from the solution and was of good durability. The study provided an effective strategy for constructing heterostructural ZIF-67/AgCl/Ag composite membranes, which are efficient and eco-friendly photocatalyst materials.

Mechanical model analysis of column-footing joints with combined socket-corrugated pipe connection

The socket connection method is widely used in precast column, particularly in seismic regions. However, reducing the socket-depth to lower costs may lead to shear failure in the socketed part of the columns. To address this issue and achieve cost objectives, a new approach combines shallow sockets with corrugated pipes for column-footing joints. Comparative tests were conducted to investigate failure in columns with socket-corrugated pipe connections (SCPC), shallow sockets (SSC), and cast-in-place (CIP). Furthermore, finite element models were employed to validate the experimental and simplified model results. The findings suggest potential shear failure in shallow socket connections, which can be mitigated by using the combined socket-corrugated pipe method that alters force transmission paths. As the axial load ratio increases, both the ultimate lateral load capacity of the specimen and the local stresses at the column base increase. In addition, the ultimate lateral load capacity of the column and the stress of the connection reinforcement are increased by increasing the strength of the longitudinal reinforcement, consequently amplifying the extent of joint area damage. Finally, a simplified strut-and-tie model of the SCPC, validated against numerical and experimental data, accurately represents force paths, ultimate lateral load capacity and failure modes in socket joints.

Mechanical Robustness Analysis of Semiconductors with a Single Needle Probe Card Using Acoustic Emissions

The combination of indentation testing and acoustic emission (AE) is widely used to analyze the fracture toughness of test substrates. In the manufacturing of semiconductor devices this material parameter also plays an important role. During the so-called wafer testing inside a wafer prober small probe tips are pressed onto the chip surface to check its performance. To prevent damaging the chip by that, the fracture toughness and load limit of it has to be defined in a prequalification step. This paper presents a test system that imitates the wafer testing process as close as possible and uses acoustic emission to detect appearing cracks and thereby also the load limit. The frontend of the test setup consists of a modular single needle probe card which can be placed in a wafer prober. Also, the indenter properties (tip diameter, stiffness, etc.) can be adjusted to the probe used later on during productive wafer testing to ensure realistic probing conditions. A piezoelectric sensor and a full strain gauge Wheatstone bridge are implemented close to the single indenter to measure the AEs and the applied contact force respectively. The signal-to-noise-ratios (SNRs) of both sensors are improved with an own analog amplifier module before recording them with an USB oscilloscope. A developed measurement software (LabVIEW) is used to adjust measurement parameters (trigger limit, record length, conversion factors, etc.) and automatically store and separate measurement data from different acoustic events and imprints. To evaluate the result files a second software tool (MATLAB) reads the files out and clusters the recorded events to separate crack signals from electrical and mechanical disturbances. With a prototype first test results are generated and the functionality and accuracy of the measurement concept is proven.

Mechanical Simulation and Optimization Analysis of Slab Continuous Casting Process for Automobile

Abstract With the development trend of automobile lightweight, the continuous casting process of automobile slab is more and more demanding. In this paper, the stress conditions and boundary conditions in the deoxidizer of the continuous casting process were analyzed, and a contact mechanics model was established between the cast slab and the copper plate. The deformation laws of the slab shell under different amplitude and frequency were simulated and analyzed, and the amplitude and frequency parameters that minimize the impact of slag marks on the slab shell were determined, providing a basis for selecting reasonable vibration parameters.

Characterisation and manufacturing methods of material extrusion 3D printing composite filaments based on polylactide and nanohydroxyapatite

As the pace of scientific research and technological advancement accelerates, there is an increasing demand for rapid on-site prototyping with specific materials. Additive manufacturing through material extrusion 3D printing has emerged as an economically viable solution to this need. The production of custom filaments for this process frequently depends on low-volume filament manufacturing lines. A significant challenge in such production processes is maintaining the quality of the filament throughout its entire length, as this has a considerable impact on the quality of the final printed object. To ensure consistent quality, it is essential to monitor and manage a range of essential properties, including diameter consistency, material homogeneity and compound ratio. This study presents the implementation of a real-time filament quality monitor (R-FQM), which provides detailed insight into the longitudinal characteristics of the filament during the manufacturing process and its crystallinity analysis. In conjunction with a new proof-of-concept drawing process for reducing filament diameter by multi stage drawing die solid-state extrusion, this approach addresses the challenge of maintaining filaments quality. Several PLA-based filaments were produced for research purposes: pure PLA and composites containing 5 and 10wt% nanohydroxyapatite. Produced composite filaments had significantly greater diameter variation compared to pure PLA (largest for 5% filler ± 0.29mm). The diameter of the resulting filaments was reduced in the range of 2.5-1.4mm using the SSE approach. In addition to the R-FQM method, the filaments were characterised by structural, thermal and mechanical property analysis. The analyses showed that the 10% hydroxyapatite content in the filament subjected to the SSE process can lead to significant weakening of the material. However, all the filaments were suitable for 3D printing for biomedical applications. The research carried out demonstrated the complementarity of the R-FQM method with classical methods, confirming the effectiveness of the approach described.

Deep learning-based inversion of soil and rock compaction density utilizing Falling Weight Deflectometer (FWD) and Surface Waves

Methods relying on a single dynamic parameter to estimate the material density for the compaction quality testing of earth-rock dams and roadbed projects, present certain limitations in terms of applicability, testing accuracy, and work efficiency. The theory of elastic wave propagation reveals that the compaction density of the medium results from the combined interaction of multiple material properties. This study proposes a method that utilizes the transient surface wave method and a vehicle-mounted Falling Weight Deflectometer (FWD) to jointly enhance the accuracy of soil and rock material compaction detection. The transient surface wave method is employed to extract surface wave velocity and compressional wave velocity. The analysis of the FWD signal involves extracting dynamic parameters closely related to material density, including stiffness coefficients, central frequencies, and stiffness impedances, from time-domain, frequency-domain, and mechanical impedance analyses. A fully connected deep neural network is introduced to intelligently estimate the compaction density. The deep learning model is optimized by selecting the optimal activation function and optimization algorithm, as well as additional tuning. Extensive testing shows that deep learning model produce results closely approximating the true compaction density values. The average relative errors for the wet density and the dry density are 2.9% and 2.85%, respectively, meeting the quality control requirements for density testing. The proposed approach enables rapid detection and control of the compaction quality of soil and rock materials, providing a new method for the in-situ rapid detection of compaction quality.