Humid Environmental Conditions Research Articles

Environmental and Behavioral Determinants of Septicemia Mortality in Türkiye: A Ten-Year Analysis

This study examines the environmental and behavioral factors associated with variations in septicemia mortality rates across Turkish provinces. Province-level data spanning ten years were analyzed using ordinal logistic regression modeling to determine the predictors of septicemia mortality. Environmental factors such as humidity, temperature, and air pollutants, along with behavioral aspects including alcohol consumption, were evaluated. Analysis of the provided data revealed significant regional variations in septicemia mortality rates across areas with diverse environmental and social characteristics. Higher median humidity and stable environmental conditions (low variability in humidity and temperature) correlated with reduced mortality rates. Alcohol consumption was identified as a risk factor, moderately increasing the risk of septicemia mortality. The findings highlight the intricate relationship between environmental stability, personal behaviors, and septicemia outcomes. The study accentuates the need for targeted public health strategies and suggests that mitigating environmental risks and fostering healthy behaviors could effectively reduce septicemia mortality. Further studies should focus on individual-level data and explore the relationship between these factors in different climatic conditions.

Evaluation of soil quality of cultivated lands with classification and regression-based machine learning algorithms optimization under humid environmental condition

In soil science, machine learning algorithms are preferred for pedotransfer functions due to their rapid data acquisition and high prediction accuracy. The current study aims to evaluate the prediction of soil quality in agricultural lands dominated by the humid Black Sea climate using various algorithms. Both classification and regression-based algorithms (Random Forest-RF, Light Gradient Boosting-LGB, Extreme Gradient Boosting-XGBoost, k-nearest neighbors-kNN, Logistic Regression, multilayer perceptron-MLP, Linear Regression-LR and Bayesian Ridge- BR) were used in the method. The comparison of soil maps is also included. Furthermore, the present study evaluates the Grid Search optimization method with K-Fold Cross Validation (K = 5) for both classification and regression-based algorithms. The prediction of soil quality was performed using class-based and regression-based algorithms. As a result of the study, the RF and XGBoost algorithms achieved an approximate accuracy rate of 92 % in the class-based prediction. In regression-based predictions, the most successful algorithms were BR and LR, with an R2 Score of 0.84. The Grid Search optimization method was used to improve the R2 Score, resulting in an increase to 0.90 and 0.88 for BR and LR, respectively. The optimized hyperparameters showed improved performance in predicting the soil quality index. The present study found that Gaussian and Spherical models had the lowest prediction errors in spatial distribution maps. Tree-based algorithms were found to be suitable for class-based prediction of soil quality, while the linear regression method was appropriate for regression predictions. This study is characterized by a rainy climate resulting in acidic soils with high organic matter content. Planning of new studies in different climates and soil properties is recommended.

Heat stress effect on fertility of two imported dairy cattle breeds from different Algerian agro-ecological areas.

The present study investigates the susceptibility of two imported dairy cattle breeds to Algerian local climatic conditions, with a primary focus on heat stress (HS) and its repercussions on fertility traits. The dataset comprises 20,926 artificial insemination records involving 6,191 Prim'Holstein and 5,279 Montbéliarde cows. The animals originated from three distinct agro-ecological regions: littoral (L), semi-arid (SA), and arid (Ar), characterized by average annual Temperature-Humidity Index (THI) values of 75.2, 69.53, and 74.75, respectively. Logistic and linear regression models were performed to analyze the relationship between the THI on the AI day, season, and agro-ecological origin of the animals with the Conception Rate at 1st Artificial Insemination (CR 1stAI), Conception Risk (CR), Services per Conception (SPC), and reproductive period (RP). The results demonstrated a significant negative impact (P < 0.001) of THI > 72 compared to THI ≤ 72 on CR1st AI and CR for both cattle breeds (Prim'Holstein: -49.7% and - 17%, respectively; Montbéliarde: -20.7% and - 15%, respectively). Seasonal effects revealed a notably higher CR1stAI in winter and spring (≈ 25%) for Prim'Holstein and Montbéliarde cows compared to summer (19.41%) and autumn (19.12%), respectively. Furthermore, a reduced likelihood of conception at 1stAI and subsequent AI was observed during summer (0.839) and autumn (0.818) compared to winter for the Montbéliarde cows. Taking into account the littoral region as a reference, the likelihood of 1stAI success increased for both breeds in the SA region and decreased for the Ar region (P < 0.001). SPC increased for both breeds in THI > 72 categories (Prim'Holstein: 6.3%, Montbéliarde: 7.1%, P < 0.01), in the Ar region (Prim'Holstein: 30.9%, Montbéliarde: 26%, P < 0.001), and in the SA region (4%, P < 0.05) compared to the L region No significant seasonal effect on SPC was observed for either breed (P > 0.05). The RP increased in the THI > 72 category (Prim'Holstein: 4.1%, Montbéliarde: 7.4%, P < 0.001) and in the Ar region (Prim'Holstein: 122%, Montbéliarde: 73.4%) for both breeds. RP decreased in autumn compared to winter (Prim'Holstein: 15.3%, Montbéliarde: 8.4%). This study underscores the adverse impact of mild to severe heat stress (HS) and related factors (season, region) on fertility of Prim'Holstein and Montbéliarde cows under Algerian conditions, emphasizing the necessity for heat stress mitigation strategies, especially in adverse littoral humid and Saharan-arid environmental conditions.

A Multimodal Perception-Enabled Flexible Memristor with Combined Sensing-Storage-Memory Functions for Enhanced Artificial Injury Recognition.

With the continuous advancement of wearable technology and advanced medical monitoring, there is an increasing demand for electronic devices that can adapt to complex environments and have high perceptual sensitivity. Here, a novel artificial injury perception device based on an Ag/HfOx/ITO/PET flexible memristor is designed to address the limitations of current technologies in multimodal perception and environmental adaptability. The memristor exhibits excellent resistive switching (RS) performance and mechanical flexibility under different bending angles (BAs), temperatures, humid environment, and repetitive folding conditions. Further, the device demonstrates the multimodal perception and conversion capabilities toward voltage, mechanical, and thermal stimuli through current response tests under different conditions, enabling not only the simulation of artificial injury perception but also holds promise for monitoring and controlling the movement of robotic arms. Moreover, the logical operation capability of the memristor-based reconfigurable logic (MRL) gates is also demonstrated, proving the device has great potential applications with sensing, storage, and memory functions. Overall, this study not only provides a direction for the development of the next-generation flexible multimodal sensors, but also has significant implications for technological advancements in many fields such as robotic arms, electronic skin (e-skin), and medical monitoring.

A Method for Predicting Wear Behaviours of Roller Linear Guides Under the Influence of the Relative Humidity and Ambient Temperature

The wear of roller linear guides (RLG) has a direct impact on the tooling precision of CNC machine tool. Wear depends on working conditions: load P, speed V, work environment which includes relative humidity RH and ambient temperature T. In this paper the mathematical regression function describes the relationship between the wear amount U of RLG with the three factors P, RH and T built on the basis of experimental research. The results show that the wear regression function U has an exponential form, which is consistent with experiments about the influence of climatic environment. It describes the simultaneous impact of three factors P, RH, T that affect wear of CNC machine tool rolling guide. With Vietnam's hot and humid environmental conditions, relative humidity RH% = 51 - 99%, temperature T = 15 - 450C, and load P = 2 - 6kgf, the influence on rolling guide wear of normal load P is 2 times the humidity RH% and about 3.8 times that of temperature T. Therefore, it is possible to predict the change in wear amount according to two environmental factors when loading P at certain values.

Study of Structural Parameters of Weft Knitted Spacer Fabrics on Wound Dressing Performance

This research aimed to develop wound dressings from weft-knitted spacer fabrics as an alternative to existing dressing options. A Stoll Type CMS530 HP electronic flat knitting machine was used to develop spacer weft knitted fabrics, which were tested with various experimental configurations by adjusting the linking distances, spacer yarn ratios, and inlays for proper optimization. Fabric physical and performance properties were evaluated to determine the application of wound dressings and the influence of structural differences. The result showed that the fabric with nylon-to-cotton yarn containing a linking distance setting of 6 needles at a ratio of 1:3, had the highest total performance value, making it the most appropriate fabric for exudate dressing in humid environmental conditions. The fabric with the highest water absorption capacity, and moisture management fabric type was the most effective.

Effects of Blood Flow Restricted Resistance Exercise on Recovery Blood Flow under Various Environmental Temperature Conditions

OBJECTIVES This study examines the impact of blood flow restriction (BFR) resistance exercise on blood flow across varying environmental temperatures, aiming to understand the physiological responses, exercise function, and recovery process affected by temperature changes.METHODS Seven healthy males (age: 26.4±1.7 years, weight: 72.7±6.8 kg, height: 174.5±2.0 cm) participated in biceps brachii exercises with and without BFR under low (10°C/25% humidity), moderate (25°C/50% humidity), and high (40°C/50% humidity) environmental conditions. Each participant completed six sessions of exercise across these conditions to assess the recovery phase blood flow changes. Blood flow measurements were taken during the recovery phase for analysis.RESULTS Blood flow significantly increased in high-temperature conditions, independent of BFR application, showing notable differences compared to low-temperature conditions (&lt;i&gt;p&lt;/i&gt;&lt;.05).CONCLUSIONS Environmental temperature significantly affects blood flow changes during BFR resistance exercise, with increased blood flow in high temperatures indicating a physiological adaptation to thermal stress. This suggests the need to consider environmental temperatures in optimizing BFR exercise protocols.

Environmentally Robust Triboelectric Tire Monitoring System for Self-Powered Driving Information Recognition via Hybrid Deep Learning in Time-Frequency Representation.

Developing a robust artificial intelligence of things (AIoT) system with a self-powered triboelectric sensor for harsh environment is challenging because environmental fluctuations are reflected in triboelectric signals. This study presents an environmentally robust triboelectric tire monitoring system with deep learning to capture driving information in the triboelectric signals generated from tire-road friction. The optimization of the process and structure of a laser-induced graphene (LIG) electrode layer in the triboelectric tire is conducted, enabling the tire to detect universal driving information for vehicles/robotic mobility, including rotation speeds of 200-2000 rpm and contact fractions of line. Employing a hybrid model combining short-term Fourier transform with a convolution neural network-long short-term memory, the LIG-based triboelectric tire monitoring (LTTM) system decouples the driving information, such as traffic lines and road states, from varied environmental conditions of humidity (10%-90%) and temperatures (50-70°C). The real-time line and road state recognition of the LTTM system is confirmed on a mobile platform across diverse environmental conditions, including fog, dampness, intense sunlight, and heat shimmer. This work provides an environmentally robust monitoring AIoT system by introducing a self-powered triboelectric sensor and hybrid deep learning for smart mobility.

The impact of environmental humidity on the mechanical property and microstructure of magnesium silicate hydrate cement

Environmental factors have a significant impact on the performance of cement-based materials. As a new type of low-carbon cementitious material, the performance of magnesium silicate hydrate cement (MSHC) under different environmental humidity conditions is crucial for its application. This study aimed to investigate the effects of environmental humidity on the hardening properties of MSHC. Compressive strength tests of MSHC were conducted under four different relative humidity (RH) conditions (RH of 33%, 58%, 75%, and 97%) and water curing (RH-w) condition. Microanalysis techniques were employed to reveal the strength mechanisms of MSHC under different environmental humidity conditions. The results showed that MSHC exhibited the optimal mechanical performance when RH was 75%, reaching 42.29 MPa. When RH was 58%, the compressive strength of MSHC was close to the optimal level, which was 41.02 MPa. However, under other humidity conditions (RH33, RH97, and RH-w), the compressive strength of MSHC was much lower than the optimal level, decreasing by 30.93%, 41.90%, and 63.66%, respectively. Pore structure analysis showed that the volume of detrimental pores (>100 nm) in the sample was the lowest when RH was 75%. Compared with RH75, the volume of detrimental pores in RH33, RH58, RH97, and RH-w increased by 20.47%, 9.83%, 36.77%, and 156.92%, respectively. In addition, the variation of environmental humidity resulted in different polymerization levels in the M-S-H gel, and higher degrees of polymerization were observed when RH was 58% and 75%.

Depositional environments and plant communities in the exceptional context of the Kungurian megacaldera of the Athesian Volcanic Group (Southern Alps, N-Italy)

We used a combined approach (lithofacies and palynology) and multivariate analyses to reconstruct the different depositional environments and changes in the plant communities throughout the middle to late Kungurian in the tropical Pangea. The late Paleozoic terrestrial biotas underwent changes under the pressure of a general aridification trend and a warming event that changed biota composition favoring drought-tolerant taxa during the Artinskian. Few studies integrate the different terrestrial ecosystem components to reconstruct palaeoenvironments and climate changes throughout the Cisuralian (early Permian). We analyzed several sedimentary successions of different stratigraphic positions intercalated in well-dated volcanic units of the megacaldera of the Athesian Volcanic Group (Southern Alps, northern Italy). The obtained palynofacies and quantitative sporomorph records with an exceptional high resolution (∼10 Ma) evidence a palaeoenvironmental/climatic change in the plant communities from the middle to the late Kungurian. The late Kungurian shows a higher diversity in the plant communities with a dominance of seed ferns and a higher relative abundance of xeromorphic-hygromorphic sporomorph taxa. This suggests the presences of more stable and putatively more humid environmental conditions in respect to the middle Kungurian. Furthermore, a direct comparison between lithofacies and all primary components of the palynofacies assemblages permits to characterize lacustrine and alluvial depositional environments since these studies are underrepresented for terrestrial environments.

Data and models reveal humid environmental conditions during MIS 3 in two of the world’s largest deserts

Data and models reveal humid environmental conditions during MIS 3 in two of the world’s largest deserts

Influence of unfavorable climatic factors characteristic of the arctic zone on the properties of polymeric materials and composites: a review

The paper reviews studies of the influence of external influencing factors characteristic of the Arctic zone on the properties of polymer materials and polymer composites. In the cited works, the influence of factors such as low temperatures, thermal cycling, high humidity, and other aggressive environmental conditions on the strength properties of a number of thermosetting and thermoplastic matrices, as well as composites based on them, has been studied. A comparative analysis of resistance of various materials to unfavorable climatic factors typical for the Arctic climate has been carried out. This review can be used when choosing materials for work in the Arctic and subarctic zones, as well as in other regions where the described factors may affect the operation of products, machines and structures.

Synthesis and characterization of a bio-aldehyde-based lignin adhesive with desirable water resistance

Wood-based panels find widespread application in the furniture and construction industries. However, over 90 % of adhesives used are synthesized with formaldehyde, leading to formaldehyde emission and associated health risks. In this study, an entirely bio-based adhesive (OSL) was innovatively proposed through the condensation of multi-aldehyde derived from the oxidization of sucrose (OS) with sodium lignosulfonate (L). This approach positioned oxidized sucrose (OS) as a viable substitute for formaldehyde, ensuring safety, simplicity, and enhance water resistance upon reaction with L. The optimization of the OSL adhesive preparation process involved determining the oxidant level for high sucrose conversion to aldehyde (13 % based on sucrose), the mass ratio of OS to L (0.8), and hot-pressing temperature (200 °C). Notably, the shear strength of 3-plywood bonded with the developed adhesive (1.04 MPa) increased to 1.42 MPa after being immersed in hot water at 63 ± 3 °C for 3 h. Additionally, the plywood specimens exhibited excellent performance after soaking in boiling water for 3 h, resulting in a shear strength of 1.03 MPa. Chemical analysis using Fourier-transform infrared spectroscopy (FTIR), 1H nuclear magnetic resonance (NMR), and X-ray photoelectron spectroscopy (XPS) confirmed an addition reaction between L and OS, forming a dense network structure, effectively enhanceing the water resistance of OSL adhesives. Furthermore, compared with lignin-formaldehyde resin adhesive (LF), the OSL adhesive exhibited superior wet shear strength. This study offered an innovative approach for developing lignin-based adhesives utilizing a biomass aldehyde (OS), as a promising substitute for formaldehyde in the wood industry. The findings indicated that this approach may advance lignin-based adhesives, ensuring resistance to strength deterioration under highly humid environmental conditions.

Xerophilic fungi contaminating historically valuable easel paintings from Slovenia.

Historically valuable canvas paintings are often exposed to conditions enabling microbial deterioration. Painting materials, mainly of organic origin, in combination with high humidity and other environmental conditions, favor microbial metabolism and growth. These preconditions are often present during exhibitions or storage in old buildings, such as churches and castles, and also in museum storage depositories. The accumulated dust serves as an inoculum for both indoor and outdoor fungi. In our study, we present the results on cultivable fungi isolated from 24 canvas paintings, mainly exhibited in Slovenian sacral buildings, dating from the 16th to 21st centuries. Fungi were isolated from the front and back of damaged and undamaged surfaces of the paintings using culture media with high- and low-water activity. A total of 465 isolates were identified using current taxonomic DNA markers and assigned to 37 genera and 98 species. The most abundant genus was Aspergillus, represented by 32 species, of which 9 xerophilic species are for the first time mentioned in contaminated paintings. In addition to the most abundant xerophilic A. vitricola, A. destruens, A. tardicrescens, and A. magnivesiculatus, xerophilic Wallemia muriae and W. canadensis, xerotolerant Penicillium chrysogenum, P. brevicompactum, P. corylophilum, and xerotolerant Cladosporium species were most frequent. When machine learning methods were used to predict the relationship between fungal contamination, damage to the painting, and the type of material present, proteins were identified as one of the most important factors and cracked paint was identified as a hotspot for fungal growth. Aspergillus species colonize paintings regardless of materials, while Wallemia spp. can be associated with animal fat. Culture media with low-water activity are suggested in such inventories to isolate and obtain an overview of fungi that are actively contaminating paintings stored indoors at low relative humidity.

Modulation of electronic and ionic conduction in mixed polymer conductors via additive engineering: Towards targeted applications under varying humidity

Polymer solids with mixed ion and electron transport hold great promise for next-generation organic electronics, and rational regulation of ionic/electronic contribution within these materials can enable a broadened spectrum of practical applications. However, a fundamental understanding of the conduction mechanisms and their correlations with morphological characteristics remains limited, especially under varying environmental humidity conditions. In the present work, simple additive engineering enables the effective regulation of electronic and ionic contribution in poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) based conductors, giving rising to ion- and/or electron-dominant conductions. As a demonstration, PEDOT:PSS films with different electrical characteristics are successfully applied for thermal energy harvesting, healthcare monitoring and human motion detection upon humidity exposure. Combining operando alternating current (AC) impedance spectroscopy and grazing incidence small-angle X-ray scattering at low and high humidity levels, additive-dependent charge transport mechanisms are elucidated, and correlations between morphological alterations and conductivity evolutions are revealed. This work achieves highly tailorable PEDOT:PSS conduction utilizing Zonyl, dimethyl sulfoxide (DMSO) and carbon nanotubes (CNTs) as additives with distinct humidity responses and gains an in-depth comprehension of underlying mechanisms, which are expected to pave the way for next-generation organic electronics.

In Vitro, Pathogenicity of Pseudomonas savasana Isolated from Olive Trees in Iraq on Fruits of Various Plant Species and its Detection by Polymerase Chain Reaction (BCR)

In this study, after a field survey of olive trees in some northern areas in the Kurdistan region of Iraq and the province of Dohuk, samples were collected for bacteria Pseudomonas Savastonifrom olive trees infected with olive knot—the period from the beginning of March until the end of May for the diagnosis of Pseudomonas Savastoni. After activating the bacteria, we started inoculating the bacteria on the fruits of other plants, such as carrots, lemons, beans, local apples and hidden apples. These fruits were subjected to the same environmental conditions of humidity, temperature and incubation period. However, no symptoms of infection of the fruits with this bacteria appeared. Only the carrots were found to be infected with this bacteria after 13 days of incubation, but after 20 days, the bacteria had infected all the carrots. We isolated the bacteria again from the infected carrot. We performed all microscopic, phenotypic and biochemical tests and subjected the bacterial isolates to a device determined using the VITEK2 system to identify the type of bacteria. Bacteria we conducted molecular tests on them, such as the test PCR and the test RT-PCR for the gene 16S r RNA. After the results appeared, the isolates were subjected to genetic sequencing to ensure the occurrence of genetic mutations of the gene 16S r RNA. Keywords: Pseudomonas Savastoni, 16S r RNA, RT-PCR, VITEK2, Sequencing

Land Suitability for Chili and Tomato Crops in Wayamiga Village East Bacan Sub-District South Halmahera District, Indonesia

Chili (Capsicum annum L.) and tomato (Solanum lycopersicum) crops are two vegetable horticultural commodities with high economic value and market demand and it’s becomes extremely important to consider land suitability and environmental sustainability factors to reduce losses and increase the probability of success. This research aimed to identify land suitability, land limiting factors, and land management for the development of chili and tomato crops in Wayamiga Village East Bacan Sub-district. The research uses a land survey method with a free survey observation distance system. The land characteristics identification employs the Boring Technique on 13 land units and land sampling of 7 samples. Land suitability analysis refers to the FAO’s land suitability classification system (1976) up to the sub-class of land suitability using a matching method. The research results indicate that the land is actually suitable for chili in Wayamiga Village with the analysis result suggesting a suitable land and S3(write this in full since it is the first time it appears) for chili and tomato is 1.940,7 ha (42,1%) and not suitable (N) is 2.666,3 ha (57,9%). Suitable land for chili and tomato crops is usually moderately suitable land (S2) (do same as foe S3) and marginally suitable land (S3). The land limiting factors that affect the land suitability for chili and tomato crops include rainfall during the growth period, humidity, soil drainage, base saturation, soil pH, organic C, soil salinity, total nitrogen nutrients (N-total), phosphorus (P2O5), potassium (K2O), flood hazard class, land average temperature, soil effective depth, surface rocks, and slope. Land management applied to maintain the sustainability of chili and tomato farming in Wayamiga Desa consists of the improvement of environmental humidity conditions, tillage, construction of drainage channels, application of lime and organic fertilizers, application of nitrogen, phosphorus, and potassium fertilizers, and flood prevention.

Influence of adhesive rheological behavior on stable mode II crack propagation in bonded interface subjected to shear loading condition

Bonded joints exhibit high mechanical performances but also suffer from poor durability in humid and/or hot environmental conditions. Indeed, delayed failures can be observed under stationary loading conditions due to chemical aggression but also due to creep failure. Despite bonded joints are generally loaded in shear, discussion on crack initiation and propagation condition under mode II stationary loading condition are lacking. Then, a semi-analytical model is proposed here to determine response of a End loaded Split (ELS) like test specimen considering viscoelastic-viscoplastic interface behavior, stationary loading condition and steady-state crack propagation regime. From these simulations, the evolution of crack propagation rate as a function of macroscopic loading intensity is obtained. The intrinsic nature of such “master curves” is finally discussed.

Long-Term Behavior of Nanoclay/TiO2 Nanoparticles Modified Carbon/Glass Fiber–Reinforced Hybrid Composites

Abstract Polymer composites are widely used as a primary structural material in lightweight construction industries due to their high strength-to-weight ratio and low cost. However, the mechanical properties get degraded when exposed to adverse environmental conditions. Hybridization of nanofillers and fibers can improve the hygroscopic behavior of polymer composites. In this work, the long-term performance of nanoclay/titanium dioxide–modified carbon/glass-reinforced hybrid composites under a seawater environment was investigated. The specimens were immersed in seawater (100 % relative humidity, 32°C) for 90 days. The effect of moisture absorption on the specimens was evaluated using water absorption, tensile, and flexural tests. Experimental results showed that the addition of nanofillers and carbon/glass hybridization had a significant impact on the water barrier properties and decay in mechanical properties. The residual life of the laminates under humid environmental conditions was predicted using an exponential function. Constituent materials and duration of exposure had a significant impact on the property’s degradation. The test findings showed that the (90°G/0°G/90°C)S sequenced laminate at 2 wt. % of nanofillers had a maximum residual life of 1,619 days under tensile loading and 3,051 days under flexural loading after 90 days of aging.

Fire-resistance behavior of concrete columns produced with recycled ceramic and silica aggregates: An experimental and numerical approach

This article aims to fully assess the fire-resistance behavior of fiber-reinforced concrete (FRC) columns made with recycled ceramic aggregates when subjected to severe thermal loading. In addition, the effects of fiber reinforcements and ceramic recycled aggregates (RAs) on the thermal behavior of concrete columns were addressed and compared with that of the conventional silica-made concrete columns. In this regard, twelve small-scale FRC columns containing recycled ceramic and silica aggregates are prepared and placed in a heating chamber for 90 min. Next, the columns were axially loaded until failure, and variations in compressive stress and axial strain of the specimens were measured, aiming to capture the thermal effects on the load-carrying capacity, axial strain, and failure modes of the concrete columns. The specimens were exposed to high temperatures of 20 °C, 600 °C, and 1000 °C according to ISO 834 Fire Standard, and were tested in humid and dry environmental conditions. Moreover, the failure modes of the columns (e.g., concrete spalling, crack pattern, etc.) are presented in terms of macroscopic imaging. In addition, in-depth analyses of the effects of fibers (steel and polypropylene) and moisture content on the thermal behavior of concrete columns is addresses utilizing scanning electronic microscope (SEM) technique. The results indicate that below the temperature of 600 °C, the axial behavior of the FRC columns with silica and ceramic aggregate are similar. However, as the temperature rises, the reduction in axial load-bearing capacity of the columns with silica aggregates is higher than that of the columns with ceramic aggregates. Also, it was observed that the environmental humidity negatively affects the overall fire-resisting behavior of the columns. Furthermore, a numerical procedure is presented in ABAQUS to estimate the behavior of FRC columns subjected to thermal loading and validated using the experimental results.