Structure-related Parameters Research Articles

Optimization and thermal characterization of a new liquid-cooled plate with branching channels of fractal geometry

In order to improve the heat transfer effect of the liquid-cooled plate with the traditional straight channel, 24 new liquid-cooled structures were obtained based on the fractal concept by adding 6 geometrically structured branch channels to the traditional straight channel and adding different forms of secondary channels between the branch channels and between the branch channels and the main channel. On the basis of establishing a numerical simulation model and verifying the accuracy of the model, the thermal characteristics of 24 liquid-cooled structures were analysed by computational fluid dynamics (CFD) simulation, and the initial relative optimal liquid-cooled channel structure was obtained by taking the comprehensive thermal performance as the evaluation index. Then, the initial relative optimal channel structure parameters were optimised in steps using NSGA-II and grey relational analysis algorithms. In order to further improve the heat transfer effect of the liquid-cooled plate, the relative optimal model after stepwise optimization was arced. The final results showed a decrease in the average temperature by 0.57 °C (1.6 %), an increase in the heat transfer coefficient by 356 W m−2 k−1 (21.3 %), and a decrease in the pressure drop by 34.55 Pa (50.2 %), as compared with the initial model. This study will provide some reference for the optimisation of the internal structural features of the channel and the improvement of the thermal performance of the liquid-cooled plate.

Flexural behaviour and design of extruded aluminium claddings

Extruded aluminium panels are commonly used in building construction but their structural performance under strong winds has yet to be investigated. In the Southeast and Far north of Queensland, strong winds can cause potential damage to these cladding panels. Hence, a research project has been established at Griffith University to examine the response of extruded aluminium panels subjected to static wind loading. The current paper aims to investigate the flexural capacity and serviceability of extruded aluminium panels subjected to positive and negative wind loadings. The influence of the interlocking of panels on the ultimate capacity and serviceability is also investigated. Further, to reduce the time and the cost involved in practical testing, a numerical model is proposed that can precisely predict the performance of extruded panels under static wind loading. A good agreement was found between the experimental and numerical results confirming the robustness of the proposed model. A sensitivity analysis was conducted to find the influence of various structural-related parameters on the flexural capacity and serviceability of these panels. Augmenting the thickness of the panels was observed to enhance both the ultimate capacity and serviceability, while an increase in width was found to have negative effects. In addition to this, the applicability of the existing design guidelines was investigated to assess whether they can be used to predict the ultimate capacity and serviceability of extruded aluminium panels. A strong concurrence was found between BS 5427–1:1996 predictions and experimental results, suggesting its suitability for determining the serviceability of extruded aluminium cladding panels exposed to wind loading. Furthermore, the study also recommended adopting the AISI's design methodology to forecast the ultimate capacity of extruded aluminium cladding panels.

Characteristics and degradation mechanisms of polychlorinated naphthalenes in surface soil in Yangtze River Delta, China

Both thermal and environmental processes are significant factors influencing the existing characteristics, e.g., congener distributions, and existing levels, of polychlorinated naphthalenes (PCNs) in the environment. Soil plays an important role in the life cycle of PCNs, but degradation of PCNs in soils has never been reported. In this study, we collected surface soil samples from 13 cities in the Yangtze River Delta, which is one of the most crowded areas of China and analyzed the samples for 75 PCNs. The long-range transportation from polluted areas was the major source for PCNs in remote areas, but the PCN profiles in remote areas reported in our previous studies were different from those in human settlement in this study, indicating there is a transformation of PCNs after emissions from anthropogenic activities. Two experiments were then designed to reveal the degradation mechanisms, including influencing factors, products, and pathways, of PCNs in surface soils. Based on the experiments, we found that the major factor driving the losses of PCNs in surface soils was volatilization, followed by photo irradiation and microbial metabolism. Under photo-irradiation, the PCN structures would be destroyed through a process of dechlorination followed by oxidation. In addition, the dechlorination pathways of PCNs have been established and found to be significantly influenced by the structure-related parameters.

Experimental and theoretical investigation on the impact dynamic response of CFDST-K joints under different structure-related parameters

K-joints have been commonly used in steel structures benefiting from excellent connection performance. In this study, a combined experimental and nonlinear analysis was performed on CFDST-K joints to investigate the displacement, strain evolution, bearing capacity degradation, impact force, and energy absorption capacity in detail with different structure-related parameters such as hollow rate and steel tube thickness. The finite element model was developed and validated by experimental results. Results indicated that the CFDST-K joint can effectively enhance impact resistance with a more reasonable energy distribution. To improve the anti-impact property, the optimal hollow rate is 0.63 and the diameter-to-thickness ratio of the outer tube should be less than 30. Meanwhile, the inner tube thickness had little effect on impact resistance under low-impact energy. Finally, simplified calculation methods for the deformation and impact force were derived based on a parametric study on the dynamic response by discussing the influence of the impact energy, hollow rate, diameter-to-thickness ratio, and axial compression ratio. The findings can serve as a foundation for the development of more reliable CFDST-K joints for steel structures.

Tensioned flexible riser vibrations under wave excitation, an investigation on the scale effect

In order to study the scale effect in wave-structure interactions and the role that structure-related parameters (tension T or bending stiffness EI) plays, riser model tests under regular waves were conducted using the model with multiple geometric scales (1:15, 1:12 and 1:9) in a wave basin. The riser model used is a novel structural design combing the outer polyvinyl chloride pipe with the core steel rod which could be simplified as a cantilever beam. Different initial tension T acting on the riser are tested by adjusting the slotted weight. The results show that the amplitude varies in a cubic fashion with the distance from the fixed end. In addition, the influence of the wave period and top tension T on the amplitude are investigated, which ultimately leads to a dimensionless number π1 = KCd·TL2/EI where KC is the classical Keulegan–Carpenter number (KC), EI shows the bending stiffness of the riser model and L gives the pipe length. With the KC number revised to take the distance from the fixed end into the calculation, this parameter provides a good measure in estimating the amplitudes of the riser vibrations induced by the waves.

Coupling strength comparison in optical fiber with multiple sector shape stress elements

AbstractThe maximum stress oscillation amplitude and maximum coupling strength of the optical fiber with multiple sector stress elements are studied. Optimized fiber structure with craft feasible is designed and the related structural parameters are given. Comparing the research results, it is found that the optical fiber with triple sector stress elements can achieve the strongest coupling strength to realize the single circular polarization state conversion by the shortest coupling distance. In addition, though the maximum coupling strength is decreased as the number of stress elements increases, it remains the same order of magnitude as the triple sector's. So from the craft perspective, whether it is an optical fiber with triple sector stress elements or the other optical fiber with more sector stress elements, the optical fiber with the property of single circular polarization transmission can be achieved if the spinning rate satisfies the phase matching condition.

Research on the Permeability and Pore Structure Distribution Characteristics of High-Performance Mortar for Surface Treatment of Bridge Piers and Columns

In marine environments, bridge piers and columns are prone to corrosion caused by harmful media, particularly chloride ions. This corrosion can lead to cracking of the steel bars in the protective layer of the bridge piers. To enhance the corrosion resistance of concrete in bridge piers, this article introduces the use of nanoclay-modified cement mortar. This innovative material offers high-performance surface treatment options that can effectively slow down the erosion process of harmful media and reduce the risk of bridge pier column cracking. To evaluate the ion erosion resistance of this nanoclay-modified cement mortar, we conducted detailed experiments on the pore structure of cement paste. The pore structure of cement paste with different dosages of nano-kaolinite clay and the dispersion method was studied using mercury intrusion porosimetry (MIP). The fractal dimension of the pore surface area of the net cement paste was calculated from the fractal model based on thermodynamic relationships of the pore structure-related parameters obtained with mercury pressure experiments. The relationship among the multiple fractal dimensions, pore structure parameters, dispersion mode, and permeability is explored. The results show that the addition of nano-kaolinite clay particles can improve the internal pore structure of cement materials. When 1.5% nano-kaolinite clay is mechanical dispersed, the total specific pore volume and the most probable pore size are reduced by 47.83% and 56.87%, respectively, compared with the control group. The fractal dimension image of cement-based materials with nano-kaolinite clay has a range of singular points and does not have fractal characteristics in this range. Nano-kaolinite clay has a significant effect on the fractal dimension of pore size range I. The fractal dimension of the whole pore size range is not suitable for the analysis of permeability, and the fractal dimension calculated by selecting less than the critical pore size range has a good correlation with permeability.

Fractal study of electrical conductivity and streaming potential in rough fractured porous media

Research has demonstrated the significant influence of surface roughness on electrical conductivity and streaming potential. This article presents a model for the flow potential in a porous medium with rough fractures, based on fractal theory and representative elementary volume theory. Expressions for the model’s permeability, conductivity, and coupling coefficient between flow and potential are derived. The results indicate that both the relative roughness and structural parameters of the model have certain effects on the conductivity and coupling coefficient. By comparing experimental data from previous literature with the predicted values from the model, the correctness and effectiveness of the model are validated.

Characterization of Surface Modifications in Oxygen Plasma-Treated Teflon AF1600.

We explore the surface properties of Teflon AF1600 films treated by oxygen plasma with various procedure parameters. Contact angle (CA) measurements, scanning electron microscopy (SEM), atomic force microscopy (AFM), and X-ray photoelectron microscopy (XPS) are employed to investigate the wetting behavior, surface topography, and chemical composition, respectively. While the etched thickness reveals a linear relationship to the applied plasma energy, the surface presents various wetting properties and topographies depending on the plasma energy: low advancing and zero receding CA (1 kJ), super high advancing and zero receding CA (2-3 kJ), and super high advancing and high receding CA (≥4.5 kJ) for the wetting behaviors; pillar-like (≤6 kJ) and fiber-like (>6 kJ) nanoscaled structures for the topographies. The results of XPS analysis reveal slight changes in the presence of O- and F-components (<4%) after oxygen plasma treatment. Furthermore, we discuss the applicability of the Wenzel and Cassie-Baxter equations and employ the Friction-Adsorption (FA) model, where no wetting state and structure-related parameters are needed, to describe the CAs on the plasma-treated surfaces. Additionally, we conduct electrowetting experiments on the treated surfaces and find that the experimental results of the advancing CA are in good agreement with the predictions of the FA model.

The effects of Zn and Yb co-dopants on the electronic, radiation shielding, structural, thermal and spectroscopic properties of hydroxyapatite

This work presents a comprehensive investigation of the electronic properties of hydroxyapatite (HA) doped with zinc (Zn) and ytterbium (Yb). Four different compositions, namely 0.33Zn-0.33Yb-HA, 0.33Zn-0.66Yb-HA, 0.66Zn-0.33Yb-HA, and 0.66Zn-0.66Yb-HA, were studied using Density of States (DOS) and band structure calculations. The computed band gap values for each composition were determined to be 4.3097 eV, 4.1324 eV, 4.2527 eV, and 4.2088 eV, respectively. The observed decrease in the band gap energy from 0.33Zn-0.33Yb-HA to 0.66Zn-0.66Yb-HA signifies a significant impact of the dopant composition on the electronic properties of the material. Furthermore, the inclusion of ytterbium in the HA matrix resulted in the formation of a distinct band and peak in the density of states. This indicates the emergence of specific energy levels associated with Yb, suggesting a distinct influence on the electronic structure of the material. These findings provide valuable insights into the tunability of the electronic properties of HA through controlled doping with Zn and Yb. Such knowledge is crucial for tailoring materials with desired electronic characteristics, thus holding promise for various applications in electronic devices and biocompatible coatings. The as-modeled structures were synthesized via a wet chemical route. Fourier transform infrared (FTIR), Raman, and X-ray diffraction (XRD) analyses verified the formation of the HA structure for each sample. Differential thermal analysis (DTA) results showed that all the as-prepared samples were thermally stable. The negligible mass losses were detected for all the samples in the thermogravimetric analysis (TGA) measurements. The addition of both co-dopants affected crystal structure related parameters and decreased the crystallinity and cell viability.

Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils.

Hydraulic conductivity (Kψ) is one of the most important soil properties that influences water and chemical movement within the soil and is a vital factor in various management practices, like drainage, irrigation, erosion control, and flood protection. Therefore, it is an essential component in soil monitoring and managerial practices. The importance of Kψ in soil-water relationship, difficulties for its measurement in the field, and its high variability led us to evaluate the potential of stepwise multiple linear regression (SMLR), and multilayer perceptron (MLPNNs) and radial-basis function (RBFNNs) neural networks approaches to predict Kψ at tensions of 15, 10, 5, and 0 cm (K15, K10, K5, and K0, respectively) using easily measurable attributes in calcareous soils. A total of 102 intact (by stainless steel rings) and composite (using spade from 0-20 cm depth) soil samples were collected from different land uses of Fars Province, Iran. The common physico-chemical attributes were determined by the common standard laboratory approaches. Additionally, the mentioned hydraulic attributes were measured using a tension-disc infiltrometer (with a 10 cm radius) in situ. Results revealed that the most of studied soil structure-related parameters (soil organic matter, soluble sodium, sodium adsorption ratio, mean weight diameter of aggregates, pH, and bulk density) are more correlated with K5 and K0 than particle-size distribution-related parameters (sand, silt, and standard deviation and geometric mean diameter of particles size). For K15 and K10, the opposite results were obtained. The applied approaches predicted K15, K10, K5, and K0 with determination coefficient of validation data (R2val) of 0.52 to 0.63 for SMLR; 0.71 to 0.82 for MLPNNs; and 0.58 to 0.78 for RBFNNs. In general, the capability of the applied methods for predicting Kψ at all the applied tensions was ranked as MLPNNs > RBFNNs > SMLR. Although the SMLR method provided easy to use pedotransfer functions for predicting Kψ in calcareous soils, the present study suggests using the MLPNNs approach due to its high capability for generating accurate predictions.

Deformation and structure strength anisotropy of undisturbed loess in tunnels on high-speed railway, China

During tunnel excavation in loess, the surrounding loess at vault and waist exhibits deformation and structural strength anisotropy. Structural strength plays an important role in the mechanical and deformation characteristics of loess, which are clearly discussed in this paper. Undisturbed loess samples were taken from the Wangjiagou and Gongjiawan Tunnels in northwestern China. A series of tests including triaxial shear, unconfined compression, tensile strength, loading–unloading cycles, and confined compression were conducted on undisturbed loess in the vertical and horizontal sampling directions. Considering the influence of loess structure on its anisotropy, a scanning electron microscopy (SEM) test was also performed to analyze the main reasons for the anisotropy of undisturbed loess. The results indicated that the ratio of strain in the horizontal direction to that in the vertical direction decreased with increasing confinement pressure, but first increased and then decreased with increasing normalized deviated stress. The deformation parameters of undisturbed loess were anisotropic. The ratio of vertical to horizontal elastic modulus, the lateral compression modulus, the pre-consolidation pressure, and the compression coefficient of undisturbed loess were respectively 1.20, 1.15, 1.35, and 0.88. A geometric model of the structural strength anisotropy of undisturbed loess was also constructed, and related structural strength parameters were also proposed.

Numerical Simulation and Analysis of the Acoustic Properties of Bimodal and Modulated Macroporous Structures

In recent decades, cellular metallic materials have increasingly been used for control of reverberation and cutback. These materials offer a unique combination of expanded pores, high specific surfaces, improved structural performance, low weight, corrosion resistance at high temperatures, and a fixed/rigid pore network (i.e., at the boundaries, porosity does not change). This study examines the ability of sphere-packing models combined with numerical modelling and simulations to predict the acoustic properties of bimodal and modulated bottleneck-shaped macroporous structures that can realistically be achieved through liquid melts infiltration casting technique. The simulations show that porosity, openings, pore sizes and permeability of the material have significant effects on acoustics, and the predictions are consistent with experimental data substantiated in the literature. The modelling suggests that the creation of bimodal structures increases the capacity of the interstitial pores and pore contacts. The result is improved sound absorption properties and spectra, characterised by a pore volume fraction of 0.73 and a mean pore size to mean pore opening ratio of 4.8 for the 50% volume bimodal structure created at a 10 µm capillary radius. The importance of how pore structure-related parameters and existing fluid flow regimes can modulate the sound absorption performance of macroporous structures was revealed by numerical simulations of the sound absorption spectra for dual-porosity and dilated macroporous structures working from high-resolution tomography datasets. Sound absorption properties were optimised for structures having pore volume fractions between 0.68 and 0.76, maintaining the mean pore size to mean pore opening ratios between 4.0 and 6.0. Using this approach, enhanced and self-supporting macroporous structures may be designed and fabricated for efficient sound absorption in specific applications.

Comparative crystal chemistry of monovalent cation-exchanged birnessite

Birnessite (ideally, Na0.54Mn2O4∙1.5H2O) is a layered manganese oxide mineral formed by edge-sharing of MnO6 octahedral sheets stacked in ∼7 Å spacing where variable amounts of water molecules and Na+ cations are occupied in a loosely disordered fashion. As such, the interlayer cations can be mixed with or substituted by other cations to contain diverse rare metals and chemical species to endow unique sensitivity on natural environments. To understand comparative crystal chemistry of birnessite as a function of interlayer cation substitution, a series of monovalent cation-exchanged forms, i.e., H-, Li-, K-, NH4-, Rb-, and Cs-exchanged birnessite, were produced from the original Na-birnessite under ambient conditions and analyzed using synchrotron X-ray powder diffraction, thermo-gravimetry, and X-ray photoluminescence spectroscopy. The (001) interplanar spacing generally expands as a function of ionic radius while it contracts as a function of the water content. Compared to the original Na-birnessite, MnO6 octahedral sheets of cation-exchanged forms become generally reduced and show higher MnIII to MnIV ratio, which affects the interlayer cation and water population. Based on the Rietveld structural refinements, the interlayer structural models are categorized into two groups depending on the distribution fashion of cations and water molecules, i.e., water molecules and cations in the Li-, K-, Rb-, Cs-birnessite models occupy separate interlayer sites whereas those are statistically mixed in the H-, Na-, NH4-birnessite models. The interlayer bonding between water molecules and oxygen atoms of the MnO6 layer appears to be a controlling factor for the interlayer spacing. The complex interplay among cation type, water content, Mn oxidation state, and related structural and chemical parameters are discussed to understand the comparative crystal chemistry of birnessite, which would serve as a basis to understanding its potential role in the geochemical cycle of cationic species in aqueous terrestrial environments.

Design study of a micro illumination platform based on GaN microLED arrays.

The design study of a micro illumination tool based on GaN microLED arrays is presented. The high spatio-temporal resolution and the capability of generating fully customized optical patterns that characterize the proposed platform would enable the manipulation of biological systems, e.g.,for optogenetics applications. Based on ray tracing simulations, the design aspects that mainly affect the device performance have been identified, and the related structural parameters have been optimized to improve the extraction efficiency and the spatial resolution of the resulting light patterns. Assuming that the device is a bottom emitter, and the light is extracted from the n-side, the presence of mesa-structures on the p-side of the GaN layer can affect both the efficiency and the resolution, being optimized for different values of the mesa-side inclination angle. The full width at half maximum (FWHM) of the extracted spots is mainly determined by the substrate thickness, and the relation between the FWHM and the array pitch represents a criterion to define the resolution. Namely, when F W H M<p i t c h, the spots are assumed to be resolved, while, when F W H M=p i t c h, a homogeneous distribution of light intensity is observed. The best performance is obtained when an in-GaN micro-lens array is included in the simulated structure, assuming that the substrate has been removed. The spatial resolution of the generated light pattern results as fully preserved, while the extraction efficiency in the best case is up to three times larger than that of a planar GaN/air interface.

Development of a NOx Calculation Model for Low-Speed Marine Diesel Engines Based on Soft Measurement Technology

With the increasing level of intelligence of marine engines, there is an increasing demand for the online monitoring of engines, and marine NOx emissions have been of great concern. In this paper, a NOx simulation model is developed based on virtual measurement technology, which can calculate and predict NOx emissions based on the current operating state parameters of low-speed two-stroke diesel engines. First, the calibrated 3D simulation model is used to design the experiments to obtain the simulation experimental samples. Based on the NOx generation mechanism and diesel engine work-related parameters, the relevant factors were selected as alternative input parameters for the NOx emission model. The correlation analysis was then performed on the input parameters using the grey relational analysis correlation method and the Pearson correlation coefficient, and the principal component analysis method was used to reduce the dimensionality of the relevant factors by minimizing the loss of important information in reducing the complexity of the whole model. Then, the structure-related parameters of the backpropagation neural network (BPNN) were adaptively optimized using the group method of data handling (GMDH) to improve the accuracy of the NOx soft measurement model. Finally, the developed GMDH–BP model was validated with data and compared with the error evaluation index of BPNN and BPNN optimized by genetic algorithm (GA), and the developed NOx simulation model demonstrated high prediction accuracy under the same hyperparameter settings. The result provides technical support for the subsequent realization of the real-time online monitoring of NOx emissions from low-speed marine diesel engines without NOx sensors.

Radial Basis Function Neural Network in Vibration Control of Civil Engineering Structure

Abstract This article uses the radial basis function artificial neural network and the MATLAB toolbox to study the vibration control of civil engineering structures. The article proposes a dynamic structure design method based on a generalized radial basis function neural network. Furthermore, the RBF neural network theory is used to optimize the structure-related controller parameters in geotechnical engineering. The research results show that RBF neural network can more accurately predict the vibration response of civil engineering. It can effectively solve the time lag problem in vibration control.

A rotational energy harvester utilizing an asymmetrically deformed piezoelectric transducer subjected only to unidirectional compressive stress

Energy harvesting using piezoelectric transduction offers a promising alternative to the conversion of kinetic energy like ambient vibration and rotational motion into useful electricity in self-powered electronic devices. To improve the reliability and effective bandwidth of rotational piezoelectric energy harvesters (RPEHs), a novel rotational energy harvester utilizing an asymmetrically deformed piezoelectric transducer excited by a magnetic attractive force is presented in this paper. Unlike the previous most RPEHs where piezoelectric elements experienced the symmetrical bidirectional strain, the presented piezoelectric transducer was only subjected to unidirectional compressive strain. It made the best use of the deformation characteristics of PZT vibrators where their allowable compressive stress was far greater than the allowable tensile stress, thus reducing the damage possibility of PZT vibrators under unexpected heavy loads. To prove the feasibility and explore the influence of the related structural parameters on the power generation performance, the theoretical analysis, simulation, fabrication and experiments were performed for the novel RPEH. The results showed that some parameters like the number ratio (α) and the rotary radius (R) of the exciting magnets brought a strong impact on the response characteristics of the presented RPEH. With the increasing rotary radius R, both the optimal rotating speed and effective bandwidth were decreased, whereas there were few studies on the effect of the rotary radius R of exiting force in previously reported RPEHs. In the case of rotary radius R = 60 mm, the maximum output voltage of 130 V with α = 0.5 was achieved. A maximum output power of 3.89 mW was obtained across 41 kΩ at the rotating speed of 856 r/min. It is expected this research can provide a beneficial reference for enhancing the reliability of existing RPEHs.

An End Point-Specific Framework for Read-Across Analog Selection for Human Health Effects.

Integrating computational chemistry and toxicology can improve the read-across analog approach to fill data gaps in chemical safety assessment. In read-across, structure-related parameters are compared between a target chemical with insufficient test data and one or more materials with sufficient data. Recent advances have focused on enhancing the grouping or clustering of chemicals to facilitate toxicity prediction via read-across. Analog selection ascertains relevant features, such as physical-chemical properties, toxicokinetic-related properties (bioavailability, metabolism, and degradation pathways), and toxicodynamic properties of chemicals with an emphasis on mechanisms or modes of action. However, each human health end point (genotoxicity, skin sensitization, phototoxicity, repeated dose toxicity, reproductive toxicity, and local respiratory toxicity) provides a different critical context for analog selection. Here six end point-specific, rule-based schemes are described. Each scheme creates an end point-specific workflow for filling the target material data gap by read-across. These schemes are intended to create a transparent rationale that supports the selected read-across analog(s) for the specific end point under study. This framework can systematically drive the selection of read-across analogs for each end point, thereby accelerating the safety assessment process.

Plasmonic Sensing and Switches Enriched by Tailorable Multiple Fano Resonances in Rotational Misalignment Metasurfaces.

Fano resonances that feature strong field enhancement in the narrowband range have motivated extensive studies of light-matter interactions in plasmonic nanomaterials. Optical metasurfaces that are subject to different mirror symmetries have been dedicated to achieving nanoscale light manipulation via plasmonic Fano resonances, thus enabling advantages for high-sensitivity optical sensing and optical switches. Here, we investigate the plasmonic sensing and switches enriched by tailorable multiple Fano resonances that undergo in-plane mirror symmetry or asymmetry in a hybrid rotational misalignment metasurface, which consists of periodic metallic arrays with concentric C-shaped- and circular-ring-aperture unit cells. We found that the plasmonic double Fano resonances can be realized by undergoing mirror symmetry along the X-axis. The plasmonic multiple Fano resonances can be tailored by adjusting the level of the mirror asymmetry along the Z-axis. Moreover, the Fano-resonance-based plasmonic sensing that suffer from mirror symmetry or asymmetry can be implemented by changing the related structural parameters of the unit cells. The passive dual-wavelength plasmonic switches of specific polarization can be achieved within mirror symmetry and asymmetry. These results could entail benefits for metasurface-based devices, which are also used in sensing, beam-splitter, and optical communication systems.