Average Strength Research Articles

Structural efficiency of concrete beams reinforced with hybrid reinforcement bars under thermal loads

Nine reinforced concrete (RC) beams were experimentally tested to assess the effect of temperatures on the flexural performance of concrete beams with hybrid bars and GFRP-steel reinforcement. The study focused on the temperature levels (25 °C, 300 °C, and 600 °C), the reinforcement ratios, and the type of reinforcement bar. The test findings revealed a significant decline in the stiffness of beams with GFRP-steel reinforcement compared to hybrid reinforcement bar (HRB) beams. The stiffness decreased by 17 % and 31 % for 300 °C and 600 °C, respectively. Moreover, all beam specimens exhibited a flexural failure mode. Non-linear finite element analysis (NLFEA) results accurately reflected the trends observed in the experimental results, and the average ratio of the experimental and NLFEA ultimate capacity was 1.02. Finally, experimental results were used to evaluate nominal flexural strength. The comparison showed that nominal flexural strength predicts flexural stress. The average experimental-nominal flexural strength ratio was 1.14.

Effects of multi-axial compression and double-step aging on the microstructure and mechanical properties of Al alloy 7075

This study investigates the combined effect of severe plastic deformation via multi-axial compression (MAC) and subsequent double-step aging on the microstructure and mechanical properties of annealed 7075 Al alloy. Three distinct processes were employed: (1) double-step aging on the annealed sample, (2) double-step aging on the six-MAC pass processed sample, and (3) double-step aging without solutionization on the six-MAC pass sample. Process (2) yielded the most significant improvements in mechanical properties. Compared to the annealed sample, the six-MAC pass, double-step aged sample exhibited an average ultimate tensile strength increase of 134% and an average Vickers micro-hardness (HV) increase of 209%. This superior performance is likely attributable to the synergistic effect of grain refinement induced by MAC and precipitate hardening achieved through double-step aging. A comprehensive analysis of microstructure evolution, mechanical properties, fractography, and the relationship between them was conducted for all three processes. This in-depth examination provided valuable insights into the mechanisms governing the observed property enhancements, particularly in process (2). Additionally, a variety of characterization techniques were employed to comprehensively evaluate the material's mechanical and microstructural characteristics.

Investigation of Fiber-Matrix Interface Strength via Single-Fiber Pull-Out Test in 3D-Printed Thermoset Composites: A Simplified Methodology.

The emergence of additive manufacturing technologies for fiber-reinforced thermoset composites has greatly bolstered their utilization, particularly within the aerospace industry. However, the ability to precisely measure the interface strength between the fiber and thermoset matrix in additively manufactured composites has been constrained by the cumbersome nature of single-fiber pull-out experiments and the need for costly instrumentation. This study aims to introduce a novel methodology for conducting single-fiber pull-out tests aimed at quantifying interface shear strength in additively manufactured thermoset composites. Our findings substantiate the viability of this approach, showcasing successful fiber embedding within composite test specimens and precise characterization of fiber pull-out strength using a conventional mechanical testing system. The test outcome revealed an average interfacial strength value of 2.4 MPa between carbon fiber and the thermoset epoxy matrix, aligning with similar studies in the existing literature. The outcome of this study offers an affordable and versatile test methodology to revolutionize composite material fabrication for superior mechanical performance.

Investigations on porous silicon nitride ceramics prepared by the gel-casting method

Abstract Due to their special structure and many excellent properties, porous Si3N4 ceramics have a wide range of potential applications as a new structural and functional integrated material. In the present study, porous Si3N4 ceramics with excellent bending properties and satisfactory porosity were prepared by the gel-casting method. The variations in porosity, bending strength, fracture morphology and phase composition of the porous Si3N4 ceramics with different weight fractions of La2O3–MgO sintering additive were investigated. The results showed that the density of porous Si3N4 ceramics increased linearly with the increase of sintering additive content. When the content of sintering additive increased from 2.5 wt.% to 10 wt.%, the porosity of porous ceramics decreased from 30 % to 10 %. With the increase of sintering additive content, the bending strength of the samples first increased and then decreased. When the sintering additive content was 5.0 wt.%, the average bending strength of the samples reached a maximum of 240.88 MPa, and scanning electron microscopy and X-ray diffractometry results showed that β-Si3N4 particles with well-developed pores and a maximum aspect ratio of 5.8 were formed in the porous silicon nitride ceramics. This study provides a reference for the preparation of porous Si3N4 ceramics with good bending properties and porosity.

Microstructure and tribological behaviour of dissimilar steel functional structure developed via arc-based DED process

In this work, heterogeneous functionally graded material (FGM) with SS316LSi and ER70S-6 is deposited using twin wire arc additive manufacturing technique. Tribological, mechanical and microstructural characterization were undertaken for the developed FGM structure. Microstructural analysis revealed acicular ferrite and bainite regions near molten pool boundaries, with "lathy ferrite" formations during solidification. Developed FGM structure exhibited appreciable mechanical strength with an average yield strength of 440±6 MPa, ultimate tensile strength of 714±13 MPa, and 43%±1.23 elongation. Worn surfaces revealed an adhesive wear mechanism. Gradation in wear rate and average coefficient of friction, measured as 9.98 × 10−4mm3/N-m and 0.46–0.51, respectively, was observed in the final deposited structure with intermediate values between SS316LSi and ER70S-6. Results reveal that as-deposited FGM exhibits superior wear resistance and mechanical performance compared to SS316LSi and ER70S-6.

Trash to treasure: A general strategy to prepare high performance graphite block via constructing interfacial transition layers with highly chemically active on recyclable graphite powder

Recently, the cycling of graphite residuum generated in the machining process of isostatic graphite has aroused great interest in both academia and industry as it offers an important solution to reduce the waste of resources and environmental disruption. However, conventional method of simple backfilling of residuum suffers drawbacks of low added-value and environmental pollution owing to the high graphitization degree and low chemical activity of these graphite powders. Herein, we report a general strategy to prepare high-performance graphite block (GBB) while using recyclable graphite powder (RGP) as starting compound via constructing highly chemical active interfacial transition layers (ITLs) on the surface of RGP by impregnated pitch (IP). The ITLs decorated recycled graphite powder (RGP@SC), as reflected in FT-IR, ESR, TG-DTG and EA, contains abundant surface functional groups, free radicals, and heteroatoms which ensures the high chemical activity, thus obviously improving the self-sintering and self-adhesion properties of GBB. As a result, GBB with RGP@SC as the main aggregate display a high homogeneity and mechanical properties. The average open porosity, flexural and compressive strength are determined to 9.90%, 56.60 MPa and 123.50 MPa, respectively, which even outperforms most reported graphite blocks. Impressively, due to the absence of impregnating and multiple calcinating, the process has a short production cycle, which not only saves energy, but also is environmentally friendly. The current work displays benchmark example of the employment of RGP for synthesis of high-performance graphite block.

AZ91 Magnesium Alloy CMT Cladding Layer Processed Using Friction Stir Processing: Effect of Traverse Speed on Microstructure and Mechanical Properties.

Friction stir processing (FSP) is a solid-state treating method to enhance the mechanical properties of materials by altering their microstructure. In this study, FSP was applied to the AZ91 magnesium alloy cladding layer prepared using cold metal transition (CMT) technology, and the purpose was to investigate the effect of the traverse speed of the H13 steel stirring head under a constant rotation speed on the microstructure and mechanical properties of the cladding layer. The results demonstrated that FSP could effectively decrease the grain size of the cladding layer and lead to the dispersion and dissolution of the coarse β-Mg17Al12 second phase into the α-Mg matrix. The mechanical characteristics of the processed cladding layer were significantly enhanced compared to the unprocessed cladding layer due to the grain refinement and second-phase strengthening induced by FSP. When the stirring head rotation speed was set at 300 r/min, the average microhardness and tensile properties of the specimens showed a tendency of initially increasing and then dropping as the traverse speed increased. The cladding layer, obtained at a traverse speed of 60 mm/min, displayed optimal mechanical properties with an average microhardness, tensile strength, and elongation of 85.6 HV0.1, 278.5 MPa, and 13.4%, respectively.

Increased prevalence of vertebrobasilar dolichoectasia in Parkinson's disease and its effect on white matter microstructure and network.

This study aimed to investigate the prevalence of vertebrobasilar dolichoectasia (VBD) in Parkinson's disease (PD) patients and analyze its role in gray matter changes, white matter (WM) microstructure and network alterations in PD. This is a cross-sectional study including 341 PD patients. Prevalence of VBD in these PD patients was compared with general population. Diffusion tensor imaging and T1-weighted imaging analysis were performed among 174 PD patients with or without VBD. Voxel-based morphometry analysis was used to estimate gray matter volume changes. Tract-based spatial statistics and region of interest-based analysis were used to evaluate WM microstructure changes. WM network analysis was also performed. Significantly higher prevalence of VBD in PD patients was identified compared with general population. Lower fractional anisotropy and higher diffusivity, without significant gray matter involvement, were found in PD patients with VBD in widespread areas. Decreased global and local efficiency, increased hierarchy, decreased degree centrality at left Rolandic operculum, increased betweenness centrality at left postcentral gyrus and decreased average connectivity strength between and within several modules were identified in PD patients with VBD. VBD is more prevalent in PD patients than general population. Widespread impairments in WM microstructure and WM network involving various motor and nonmotor PD symptom-related areas are more prominent in PD patients with VBD compared with PD patients without VBD.

The Use of Phosphogypsum as a Source of Raw Materials for Gypsum-Based Materials

Gypsum binders and the products based on them are widely in demand in the construction materials market, which is due to their easy production technology, lower energy consumption, and low environmental impact in relation to Portland cement. Not only natural gypsum (NG), but also phosphogypsum (PG), which is a by-product of the synthesis of orthophosphoric acid from phosphorite rock, can be used as a source of raw materials for the production of gypsum materials. PG is produced annually in large quantities throughout the world. In chemical composition, PG mainly consists of calcium sulfate dihydrate CaSO4·2H2O, so it is a good potential analogue of natural gypsum, which is used as the main component of gypsum building materials. Thus, the useful recycling of PG as a technogenic resource with valuable properties will expand the raw material base for the production of gypsum materials. This approach to handling technogenic resources fits well with the principles of a circular economy. However, like any technogenic resource, PGs from different enterprises normally differ in their deposits of the original phosphate rock and production technologies. Therefore, PG contains a large number of undesirable impurities, the proportion and composition of which vary over a wide range. This feature does not allow for predicting the properties of PG-based materials without a preliminary detailed study of PG. This research was aimed at carrying out a comprehensive study of the characteristics of PGs from three different industrial plants to evaluate their relationship with the properties of gypsum materials based on them. It was found that PGs have significant differences in their structural and morphological characteristics both in relation to each other and in relation to NG. Also, binders based on PG and NG have significant differences in their physical properties. The average density, compressive strength, and flexural strength for the PG binders with equal workability are lower than those of NG binders. At a water/solid ratio (W/S) < 0.7, all PG binders exhibit comparable compressive strength to NG binders. Thus, PG can act as an alternative to natural gypsum in gypsum binders.

An Enhanced Vacuum-Assisted Resin Transfer Molding Process and Its Pressure Effect on Resin Infusion Behavior and Composite Material Performance.

In this paper, an enhanced VARTM process is proposed and its pressure effect on resin infusion behavior and composite material performance is studied to reveal the control mechanism of the fiber volume fraction and void content. The molding is vacuumized during the resin injection stage while it is pressurized during the mold filling and curing stages via a VARTM pressure control system designed in this paper. Theoretical calculations and simulation methods are used to reveal the resin's in-plane, transverse, and three-dimensional flow patterns in multi-layer media. For typical thin-walled components, the infiltration behavior of resin in isotropic porous media is studied, elucidating the control mechanisms of fiber volume fraction and void content. The experiments demonstrate that the enhanced VARTM process significantly improves mold filling efficiency and composite's performance. Compared to the regular VARTM process, the panel thickness is reduced by 4% from 1.7 mm, the average tensile strength is increased by 7.3% to 760 MPa, the average flexural strength remains at approximately 720 MPa, porosity is decreased from 1.5% to below 1%, and the fiber volume fraction is increased from 55% to 62%.

Artificial neural network, machine learning modelling of compressive strength of recycled coarse aggregate based self-compacting concrete.

This research study aims to understand the application of Artificial Neural Networks (ANNs) to forecast the Self-Compacting Recycled Coarse Aggregate Concrete (SCRCAC) compressive strength. From different literature, 602 available data sets from SCRCAC mix designs are collected, and the data are rearranged, reconstructed, trained and tested for the ANN model development. The models were established using seven input variables: the mass of cementitious content, water, natural coarse aggregate content, natural fine aggregate content, recycled coarse aggregate content, chemical admixture and mineral admixture used in the SCRCAC mix designs. Two normalization techniques are used for data normalization to visualize the data distribution. For each normalization technique, three transfer functions are used for modelling. In total, six different types of models were run in MATLAB and used to estimate the 28th day SCRCAC compressive strength. Normalization technique 2 performs better than 1 and TANSING is the best transfer function. The best k-fold cross-validation fold is k = 7. The coefficient of determination for predicted and actual compressive strength is 0.78 for training and 0.86 for testing. The impact of the number of neurons and layers on the model was performed. Inputs from standards are used to forecast the 28th day compressive strength. Apart from ANN, Machine Learning (ML) techniques like random forest, extra trees, extreme boosting and light gradient boosting techniques are adopted to predict the 28th day compressive strength of SCRCAC. Compared to ML, ANN prediction shows better results in terms of sensitive analysis. The study also extended to determine 28th day compressive strength from experimental work and compared it with 28th day compressive strength from ANN best model. Standard and ANN mix designs have similar fresh and hardened properties. The average compressive strength from ANN model and experimental results are 39.067 and 38.36 MPa, respectively with correlation coefficient is 1. It appears that ANN can validly predict the compressive strength of concrete.

A study of the effect of organic acids (gallic acid and ascorbic acid) on the coloration and functionalization of wool yarns with Millettia laurentii sawdust natural dye

Wastewater from the textile industry, especially the dyeing sector, is a major contaminant for aquatic ecosystems. Synthetic dye compounds and metal salts from leftover mordant and dyeing baths are washed into rivers, endangering aquatic life and the environment. In regards to the current study’s examination of Millettia laurentii sawdust’s potential as a natural color source, eco-friendly organic acids (gallic acid and ascorbic acid) were studied in conjunction with small amounts of metal salts (aluminum sulfate, stannous chloride, copper sulfate, and ferrous sulfate) for enhancing the color shade palette with simultaneous functionalization (antimicrobial and UV-protection) of wool yarns. The effects of metal salts up to ecologically permissible concentration limits on the dyeing and functional properties were assessed in combination with organic acids. The study focused on optimizing dyeing variables including pH (2–8), temperature (65–95 °C), dye concentration (25–125% o.w.f.), and dyeing time (15–90 min) using a one-factor-at-a-time (OFT) optimization by determining the color depth (K/S) values on the wool yarns. The optimized dyeing conditions were pH of 4, temperature of 95 °C, dye concentration of 75.0% (o.w.f.), and dyeing time of 60 min. The color characteristics (CIEL*a*b*c*ho) and fastness (Wash, rub, and light) properties are evaluated comparatively against control dyed wool yarns using standard methods. The antimicrobial activity of control dyed and mordanted dyed wool yarns was evaluated in terms of the percentage microbial reduction of bacterial colonies. Metal salts especially ferrous sulfate in conjunction with gallic acid (Fe/GA) provided the highest average color strength (13.50) with a maximum percentage microbial reduction of 96.67%. UV protection ability was assessed by an Australian and New Zealand standards (AS/NZS 4399: 1996) method in terms of UPF values. UV protection levels were significantly improved by using binary combinations of organic acids and metal salts with the maximum protection offered by Fe/GA (97.66) and Sn/GA (97.90). Dyeing outcomes were significantly impacted by the chemical structure of organic acids (gallic acid and ascorbic acid) and the type of metal salts; the research proposes a more environmentally friendly natural dyeing process for the textile industry.

Improving tensile and impact properties of Fe50Mn30Co10Cr10 high entropy alloy via microstructural engineering

This study investigates the Fe50Mn30Co10Cr10 high entropy alloy (HEA), featuring a dual-phase structure with face-centered cubic (FCC) and hexagonal close-packed (HCP) phases, in both cast and forged states. The cast samples exhibited an average tensile strength of 675.9 MPa and an elongation at break of 34 %, while the forged samples showed superior properties with a strength of 821.0 MPa and 50 % elongation. Impact tests at room temperature, 200 K, and 77 K revealed that forged samples consistently had higher impact energy (144 J, 119 J, and 109 J, respectively) compared to cast samples (99 J, 80 J, and 66 J). This research underscores the significant influence of the dual-phase structure and fabrication process on the mechanical and impact properties of the Fe50Mn30Co10Cr10 system HEAs.

A novel dynamic simulation method for investigating the hygroscopicity of Ammonium perchlorate

Ammonium perchlorate (AP) is a widely used oxidizer, extensively employed in solid propellants with excellent combustion properties. Ultrafine AP has better combustion properties, but its strong hygroscopicity and high sensitivity hinder its application. To safely and efficiently explore the hygroscopicity of ultrafine AP, this paper proposes a novel molecular dynamics (MD) simulation approach. By analyzing the movement of water molecules, fluctuations in average hydrogen bond strength, and the influence of non-covalent intermolecular forces throughout the moisture absorption process, this study presents a comprehensive overview of the hygroscopic properties of ultrafine AP across relative humidity (RH) levels spanning from 10 % to 100 %, and temperatures ranging between 273 K and 373 K. It was found that temperature has a more significant impact on the hygroscopicity of AP compared to RH. During the hygroscopic process of AP, Van der Waals interactions hindered the water absorption of AP, while electrostatic forces promoted its hygroscopic properties. The hygroscopicity of AP reached a maximum when the temperature exceeded 333 K, and plateaued as the increase of RH. The proposed moisture simulation method facilitates the secure and effective forecasting of moisture absorption in AP-based materials across various temperature and RH environments, thereby greatly expediting research on enhancing the moisture resistance of ultrafine AP.

Bond behaviour of staggered/non-staggered lap-spliced GFRP bars in concrete

This paper reports on the results of an experimental and analytical investigation into the bond behaviour of glass fibre-reinforced polymer (GFRP) splices in concrete. Eleven full-scale beam specimens in which GFRP bars were spliced within the constant-moment zone are examined. The study incorporates several key test variables, encompassing the ratio of bars lapped (33%, 50%, and 100%), surface characteristics (including sand-coated, ribbed, and wrapped bars), bar diameter (12 mm and 16 mm), and splice length (ranging from 30 to 40 times the bar diameter). The findings reveal a reduction in bond strength ranging from 12 to 24% for staggered bars when compared to their non-staggered counterparts. Furthermore, an increase in bar diameter is shown to decrease bond strength by 16%, whilst surface treatment also influences both bond strength and the pattern of cracking in the splice region. Increasing the splice length from 30 to 40 times the bar diameter enhances bar failure stress by 26%, but it also reduces the average bond strength by 9%. A new predictive equation for the design bond strength of fibre-reinforced polymer (FRP) bars is developed by utilizing a data base of 151 test results. The predicted bond strengths demonstrate greater consistency with experimental outcomes in comparison to previous models.

Minimum spanning tree analysis of EEG resting-state functional networks in schizophrenia

Schizophrenia is a serious and complex mental disease, known to be associated with various subtle structural and functional deviations in the brain. Recently, increased attention is given to the analysis of brain-wide, global mechanisms, strongly altering the communication of long-distance brain areas in schizophrenia. Data of 32 patients with schizophrenia and 28 matched healthy control subjects were analyzed. Two minutes long 64-channel EEG recordings were registered during resting, eyes closed condition. Average connectivity strength was estimated with Weighted Phase Lag Index (wPLI) in lower frequencies: delta and theta, and Amplitude Envelope Correlation with leakage correction (AEC-c) in higher frequencies: alpha, beta, lower gamma and higher gamma. To analyze functional network topology Minimum Spanning Tree (MST) algorithms were applied. Results show that patients have weaker functional connectivity in delta and alpha frequency bands. Concerning network differences, the result of lower diameter, higher leaf number, and also higher maximum degree and maximum betweenness centrality in patients suggest a star-like, and more random network topology in patients with schizophrenia. Our findings are in accordance with some previous findings based on resting-state EEG (and fMRI) data, suggesting that MST network structure in schizophrenia is biased towards a less optimal, more centralized organization.

Improving the graphene distribution and mechanical properties of graphene/Al composites by aminopropyl triethoxysilane modification

Uniform distribution of low-dimensional nano-carbon materials (NCMs) for the optimal enhancement effects is always a major issue of metal matrix composites (MMCs). In this study, aminopropyl triethoxysilane (APS) was introduced to synthesize Al@GO powders in an optimized process, by which, the uniform coating of GO on Al powders and the chemical bonding between them were obtained with the GO content up to 1.0 %. After hot pressed sintering using these powders, the GO/Al composite has a nacre-like structure that Al grains are lamellar with reduced graphene oxide (RGO) on the grain boundaries. By the application of APS with the optimized process, the relative density of 1.0 % RGO/Al composite increased from 99.2 % (without APS) to 99.7 % (with APS), indicating that the aggregation of RGO and the concomitant hole defects were effectively eliminated. Therefore, the average tensile strength of the 0.5 % and 1.0 % RGO/Al composites reached 243.6 MPa and 292.4 MPa, respectively, which were 105.9 % and 147.4 % improved compared with those of pure Al. This work has provided a new strategy to fabricate NCMs/Al composite with uniform dispersion of NCMs.

Work injuries and mental health challenges: A meta‐analysis of the bidirectional relationship

AbstractThe link between work injuries and mental health challenges significantly impacts individuals, organizations, and society. However, an integrated understanding of their relationship is lacking due to fragmented research across various disciplines. Drawing from uncertainty in illness theory, our comprehensive meta‐analysis (147 samples, N = 1,457,562) clarifies the bidirectional relationship between work injuries and mental health challenges. We estimate the average strength of the association, compare temporal ordering (work injuries preceding mental health challenges, and vice versa), explore underlying mechanisms, and identify potential moderating factors. Results from a random‐effects model reveal a moderate association between work injuries and mental health challenges (k = 147, ρ = .21, 95% CI = .19, .24, 95% CR = −.11, .50). Notably, the relationship is stronger when work injuries precede mental health challenges (k = 40, ρ = .23, 95% CI = .18, .29, 95% CR = −.10, .52) compared to the reverse (k = 18, ρ = .11, 95% CI = .03, .19, 95% CR = −.23, .42). Negative cognitions and perceived job demand underlie the bidirectional relationships between work injuries and mental health challenges. These findings highlight the interconnected nature of work injuries and mental health challenges, illustrating the need for comprehensive rehabilitation approaches that integrate physical and psychological care, and paving the way for future research and interventions.

Response Surface Methodology Optimization of Resistance Welding Process for Unidirectional Carbon Fiber/PPS Composites.

The use of thermoplastic composites (TPCs) as one of the lightweight solutions will inevitably encounter problems in connection. Resistance welding has the characteristics of high strength, simplicity, and high reliability, and is considered a very potential hot-melt connection technology. The resistance welding technology of unidirectional carbon fiber-reinforced polyphenylene sulfide composites (UCF/PPS) was systematically studied. The experimental results show that the 100-mesh brass mesh has the best resin wetting effect and heating efficiency, and the PPS/oxidized 100-mesh brass mesh composite resistance element (Ox-RE/PPS) has the highest welding strength. The welding failure mode changes from interface failure and RE failure to interlayer structure damage and fiber fracture. The single-factor experimental results show that the maximum welding strength is reached at 310 °C, 1.15 MPa, and 120 kW/m2. According to the conclusion of the single-factor experiment, the Box-Behnken method was further used to design a three-factor, three-level experiment, and a quadratic regression model was established according to the test results. The results of variance analysis, fitting curve analysis, and perturbation plot analysis proved that the model had high fitting and prediction abilities. From the 3D surface diagram analysis, the influence of power density is the largest, and the interaction between welding temperature and power density is the most significant. Combined with the analysis of Design Expert 13 software, the optimal range of process parameters was obtained as follows: welding temperature 313-314 °C, welding pressure 1.04-1.2 MPa, and power density 124-128 kW/m2. The average strength of resistance welding joints prepared in the optimal range of process parameters was 13.58 MPa.

Visual and machine strength gradings of Scots and red pine structural timber pieces from Türkiye

Scots (Pinus sylvestris L.) and red pine (Pinus brutia Ten.) structural timbers (540 pieces) from Türkiye were first visually graded according to TS 1265 (2012). Then, non-destructive tests were conducted using vibration and time of flight (ToF) methods, followed by destructive tests on a four-point bending test setup according to EN 408 (2012). The vibration method showed a higher correlation than ToF with strength and stiffness. The dynamic modulus of elasticity (MOEd) obtained by the vibration method was 12.3% and 15.4% lower in Scots and red pine, respectively, compared to the ToF method. Mechanical testing determined local MOE was 14% and 15% higher than global MOE for Scots and red pine, respectively. An alternative formula to the existing conversion formula in EN 384 (2018) was derived. The average bending strength of red pine was 7% higher than Scots pine. For visual strength grading, local and global MOE in Scots pine, class 1, 2, and 3 structural timbers were assigned to C35, C27, and C22, respectively. Red pine was assigned to C40, C27, and C24 for local MOE and C35, C24, and C22 for global MOE. In machine strength grading, the grade combination was C40-C30-C22-C16-R for both species. The best results were achieved in settings where vibration method and local MOE were used together. Machine strength grading achieved higher efficiency than visual strength grading.