Anode Distance Research Articles

Dynamic Cluster Head Selection in WSN

A Wireless Sensor Network (WSN) comprises an ad-hoc network of nodes laden with sensors that are used to monitor a region mostly in the outdoors and often not easily accessible. Despite exceptions, several deployments of WSN continue to grapple with the limitation of finite energy derived through batteries. Thus, it is imperative that the energy of a WSN be conserved and its life prolonged. An important direction of work to this end is towards the transmission of data between nodes in a manner that minimum energy is expended. One approach to doing this is cluster-based routing, wherein nodes in a WSN are organised into clusters, and transmission of data from the node is through a representative node called a cluster-head. Forming optimal clusters and choosing an optimal cluster-head is an NP-Hard problem. Significant work is done towards devising mechanisms to form clusters and choosing cluster heads to reduce the transmission overhead to a minimum. In this article, an approach is proposed to create clusters and identify cluster heads that are near optimal. The approach involves two-stage clustering, with the clustering algorithm for each stage chosen through an exhaustive search. Furthermore, unlike existing approaches that choose a cluster-head on the basis of the residual energy of nodes, the proposed approach utilises three factors in addition to the residual energy, namely the distance of a node from the cluster centroid, the distance of a node from the final destination (base-station), and the connectivity of the node. The approach is shown to be effective and economical through extensive validation via simulations and through a real-world prototypical implementation.

Bond-Engineered MoSe2 Nanosheets with Expanded Layers and an Enriched 1T Phase for Highly Efficient Na+ Storage.

MoSe2 has attracted significant interest for Na+ storage due to its large interlayer distance, favorable band gap structure, and satisfying theoretical specific capacity. Nevertheless, the poor conductivity and large volume stress/strain always lead to poor cycle stability and limited rate capability. Herein, the P-Se bond and phase engineering strategies are proposed to enhance the stability of MoSe2 with the assistance of carbon compositing. Systematical characterizations confirm that the presence of a strong P-Se bond can ensure the good structural stability and enlarge the layer distance of the MoSe2 anode. 1T phase-enriched composition endows excellent conductivity and thus fast Na+ transport kinetics. Additionally, the combination of carbon contributes to the improvement of electron conductivity, further enhancing the reversible Na+ storage and cyclic stability. Consequently, an ultrastable reversible specific capacity of 347.8 mAh g-1 with a high retention ratio of 99.1% can be maintained after 1000 cycles at 1 A g-1, which is superior to the previous reports of MoSe2 nanosheets. The presented strategy is ingenious, offering an effective guidance to designing advanced electrodes to be applied in rechargeable batteries with a long lifespan.

Optimisation of plasma-activated water: Plasma DBD technology and application in recirculating aquaculture system for Nile tilapia larval culture

Plasma-activated water (PAW) is a useful tool for producing pathogen-free seed fish. This study aimed to apply dielectric barrier discharge (DBD) plasma to reduce the microbial population in the water of a recirculating aquaculture system (RAS) for Nile tilapia larval culture. Initially, a PAW system prototype was developed and found to effectively reduce bacterial populations in both stagnant and circulating water. Additionally, a slight increase in water temperature was observed in the circulating water. Subsequently, the optimisation of PAW conditions in the circulating water was performed. The PAW system, with a copper anode distance of 2 cm and a 1 cm distance between the copper tip and the water surface, combined with a non-spaced cathode pad, exhibited the highest bactericidal effect. Using the optimised PAW conditions, for Experiment I, Nile tilapia larval culture was established in the RAS, supplemented with a bacterial suspension (Bacillus subtilis, Streptococcus agalactiae and Aeromonas hydrophila) to assess the bactericidal effects. Three treatments were applied: 1) control (no PAW or antibiotics), 2) PAW, and 3) antibiotic treatment for Nile tilapia larvae cultured in the RAS system for 672 h. The results demonstrated that both PAW and antibiotic treatments significantly reduced the bacterial populations in the water in relation to the control (P < 0.05). Moreover, a substantial reduction in bacterial population was observed in the whole body of the fingerlings in both the PAW and antibiotic groups in relation to the control fingerlings (P < 0.05). In Experiment II, Nile tilapia larval culture in the RAS was conducted under three different conditions: 1) control (no PAW or antibiotic), 2) PAW, and 3) antibiotic treatment, to evaluate the antimicrobial effects of PAW on waterborne bacterial populations for 672 h. Similar to Experiment I, both antibiotic and plasma treatments significantly reduced the bacterial populations in the water and whole-body fingerlings in relation to the control (P < 0.05). Notably, the growth performance and whole-body composition (moisture, crude protein, crude fat, and ash) of the fingerling fish appeared comparable among the experimental groups (P > 0.05), suggesting that PAW had no detrimental effects on long-term fish culture. Therefore, PAW can be employed to effectively reduce bacterial populations in water, thus minimising bacteria-related issues in fish without adverse impacts on fish growth.

Acceleration of electrons in a combined magnetic trap in synchronous mode

The electron energy distribution function (EEDF) and the spatial profile of the electron density in the cathode–anode gap in a helium discharge are calculated within a one-dimensional model by the Monte Carlo method. Numerical studies are performed for experimental conditions known from the literature in a discharge with a hollow cathode: the cathode–anode distance of 3 cm, the helium pressure of 0.75 Torr, and the electric field strength in the discharge gap of 1.3 V/cm. The calculations are performed without and with allowance for the anode potential drop and the effect of electron reflection from the anode. The dependence of the form of EEDF on the energy spectrum of the electron source used in the calculations is also studied. In all variants of calculations, the main feature of the EEDF is retained, that is, a significant depletion of the low-energy part of the distribution function due to the effect of electron absorption by the anode. The calculated EEDF and the spatial profile of the electron density are compared with the available experimental data.

Study of the Effect of the Anode on EEDF and the Spatial Profile of the Electron Density in a Discharge with a Hollow Cathode in Helium

The electron energy distribution function (EEDF) and the spatial profile of the electron density in the cathode–anode gap in a helium discharge are calculated within a one-dimensional model by the Monte Carlo method. Numerical studies are performed for experimental conditions known from the literature in a discharge with a hollow cathode: the cathode–anode distance of 3 cm, the helium pressure of 0.75 Torr, and the electric field strength in the discharge gap of 1.3 V/cm. The calculations are performed without and with allowance for the anode potential drop and the effect of electron reflection from the anode. The dependence of the form of EEDF on the energy spectrum of the electron source used in the calculations is also studied. In all variants of calculations, the main feature of the EEDF is retained, that is, a significant depletion of the low-energy part of the distribution function due to the effect of electron absorption by the anode. The calculated EEDF and the spatial profile of the electron density are compared with the available experimental data.

Response surface analysis of Zn–Ni coating parameters for corrosion resistance applications: a Plackett–Burman and Box–Behnken design of experiments approach

AbstractThe development of cost-effective coatings with exceptional corrosion resistance is an ongoing challenge in the field of materials science. Among the promising coatings, zinc–nickel (Zn–Ni) coatings have shown great potential, especially when produced using economical electroplating technology. However, achieving optimal performance while minimizing coating thickness remains a complex task. In this study, the behavior of the responses was investigated according to the coating standards and levels, focusing on eight variables including temperature, time, cathodic current density, nickel concentration, substrate hardness, roughness, cathode–anode distance, and magnetic stirring speed. Four responses were investigated: coating thickness, roughness, microhardness, and corrosion rate with potentiodynamic polarization, using two design of experiments (DOE) methods: Plackett–Burman design (12 runs) and response surface methodology with Box–Behnken design (15 runs). The results show the degree of influence of each variable on the responses and their contribution to changing the responses. Additionally, response surfaces have been determined and it is shown that large response values can be achieved with small thicknesses. The morphological study using SEM, EDX, and XRD techniques revealed that the deposition conditions play an important role in the surface morphology. Some samples showed microcracks, while others had small grain size and were free of cracks and pores. Overall, this study provides new insights into the improvement of Zn–Ni coatings with exceptional corrosion resistance and cost-effectiveness.

THE EFFECT OF NICKEL ELECTROPLATING ON THE SURFACE HARDNESS OF LOW CARBON STEEL

Electroplating on steel is basically done with the aim of protecting the steel surface from corrosion attack. However, it is necessary to know the quality surface hardness of steel that has undergone electroplating. This research is determining the electroplating time and the best anode and cathode distance to surface hardness in the nickel electroplating process on low carbon steel. The method was done by placing the specimen into a electrolyte solution. Then the hardness test was carried out on the specimen. The results shown that the ST-37 steel coating with nickel with a variation of the plating time of 12 minutes and the distance between the anode and cathode of 150mm,has highest hardness number of 246.7kg/mm2. By ANOVA analysis the coating time greatly affects the surface hardness.

A novel optimized routing technique to mitigate hot‐spot problem (NORTH) for wireless sensor network‐based Internet of Things

SummaryTechnological advancements in the area of the Internet of Things have fostered the development of multi‐hop architectures pertaining to applications seeking large network areas. However, while exploiting such applications, the sensor devices being used are made to communicate through multi‐hop routing techniques, burdening the relay nodes. Hence, it leads to a hot‐spot problem, as the nodes passing on the data, that is, relay nodes, consume their energy at a large magnitude. To solve this issue, in this paper, we propose a novel optimized routing technique to mitigate hot‐spot problem (NORTH) for wireless sensor network (WSN)‐based IoT. We employ the tunicate swarm algorithm (TSA) to optimize the cluster‐based routing, specifically the selection of cluster head (CH) of each cluster by using some novel parameters. These parameters include energy status, a distance of a node from the sink and other nodes, load balancing, node proximity, and average energy stock of the network. We investigate two network scenarios, that is, when a sink is placed inside the network and otherwise, to give an optimized solution for every case. Further, to mitigate the hot‐spot problem, the relay node is selected in a cluster with the same mechanism as CH, which performs the task of data forwarding. The simulation analysis of NORTH reveals the supremacy of the proposed work against the recently proposed algorithms, based on various performance metrics, namely, network longevity, stability duration, throughput, and the network's remaining energy.

Investigation of the Structural Coating Homogeneity in Open‐Porous Nickel/Polyurethane Hybrid Foams Produced by Flow‐Controlled Electrodeposition

In today's world, the saving of raw materials together with the reduction of emissions necessitates the development of new, customized and application‐oriented materials which fulfill various requirements at the same time. Metal foams achieve a high strength combined with low weight. The present work deals with a flow‐controlled production technique for hybrid foams to deposit a nanocrystalline nickel (Ni) layer on pre‐treated, open‐porous polyurethane (PU) foams. The analysis of the resulting coating thickness distributions with gravimetric and microscopic methods shows the qualitative and quantitative influences on the local deposition by varying the process parameters. For the first time, the coating thickness distribution of Ni/PU hybrid foams is investigated regarding the analysis of a global and local homogeneity. The comparison of experimental data with simulated flow velocity profiles leads to an estimation of the correlation between flow velocity, anode distance, and coating thickness distribution, which represents the mass transport. The correlations show, that the coating process is strongly controlled by the electrolyte's flow velocity as well as the distribution of the electric field.

A Decade of Activity of the Medical Journal of Tabriz University of Medical Sciences through Scientometric Method (2010-2019)

A Decade of Activity of the Medical Journal of Tabriz University of Medical Sciences through Scientometric Method (2010-2019)

Metal-nitride dual-anode AlGaN/GaN heterostructure Schottky barrier diodes with tunable turn-on voltage and reverse leakage current

AlGaN/GaN heterostructure lateral Schottky barrier diodes (SBDs) with TiN and NiN dual anode (DA) on sapphire substrates are investigated in this letter. The NiN anode with its high work-function leads to low leakage current and high breakdown voltage, while TiN anode with its low work-function determines the low turn-on voltage of the DA SBDs. Tunable turn-on voltage and leakage current are obtained in the DA SBDs by varying the radius of the TiN anode. As the radius of the TiN anode decreases from 80 to 8 μm, the turn-on voltage increases from 0.64 to 0.94 V, while the reverse leakage current decreases from 1 × 10−2 to 1 × 10−4 mA mm−1 at a reverse bias of −10 V and cathode–anode distance of 20 μm. The differential specific on-resistance at 100 mA mm−1 is 4.5 mΩ cm2 and barely changes with various radius of the TiN anode. A high breakdown voltage of 1.49 kV is achieved in the AlGaN/GaN DA SBDs with the radius of 80 μm of the TiN anode, obtaining a power Baliga’s figure of merit of 0.48 GW cm−2 at the cathode–anode distance of 20 μm. Besides, dynamic on-resistance increases less than 15% under pulse voltage bias at −60 V which may account on the good interface between metal nitrides and AlGaN, which is beneficial to the high frequency and high power application.

Alternated Graphene/Carbon Nanotubes Sandwich Field Emitter for Making Ultra-Low-Voltage Field Emission Light Directly Driven by Household Electricity Supply

Field emission cathode electroluminescent lamp is a light source with multiple advantages including continuous light spectrum and high efficiency. However, it needs a high operation voltage of the order of kilovolts with transformer, because its emitters have limited cathode - anode distance at hundreds of microns and high operation electric field. This study makes graphene and carbon nanotubes (CNTs) hybrid field electron emitter with ultra-low turn-on field down to 0.1 V/μm. Their diode-structure field emission lamp can be directly driven by 110 V and 220 V household electricity supply and has bright luminescence with a very low power consumption of 14 mW. The emitters are made of alternated graphene/CNTs sandwich material, and their good field emission properties are attributed to these alternated graphene layers. During field emission, the graphene layers switch their function as spacers to reduce the screening effect at low operation field and also participate in electron emission at high operation field. This study offers a new strategy to make low power consumption and healthy light sources. Meanwhile, this study also raises the requirement to develop low voltage and high efficiency electronic luminescent phosphor.

Symptom Correlates Using Network Analysis in Pediatric Patients Undergoing Blood and Marrow Transplant

Introduction: Youth undergoing blood and marrow transplantation (BMT) experience significant distress. The widespread and mainstream use of mHealth technologies such as smartphone applications offer a unique opportunity to collect patient-generated health data that can enhance patients' and clinicians' understanding of symptom onset, trajectories, and inter-relationships. Network analysis (NA) is a useful tool that can illuminate inter-relationships between symptoms, leading to better collective understanding of the symptom experiences of these youths. This knowledge can lead to enhanced patient-caregiver interactions/collaborations, treatment management, and potentially support improved inference around adverse clinical outcomes.Objective: To determine the feasibility of using network analysis to evaluate mHealth symptom data in patients undergoing BMT.Aim 1. Estimate the network by creating a graphic model that depicts symptom inter-relationships.Aim 2. Identify influential symptoms in the network by evaluating centrality indices and assessing the stability of edges and centrality results.Methods: Study participants undergoing BMT recorded daily symptoms via a smartphone app from preconditioning through 120 days. Patients report their symptom experience (intensity and distress on a scale of 0-10). NA was conducted on the initial patients (n=3) to evaluate inter-relationships between reported symptoms. Each symptom is represented by a circle (node), while associations (regularized partial correlations coefficients) between symptoms are depicted as lines (edges). Stronger associations among symptoms present as thicker lines in the network and a higher value in the weighted matrix table.Centrality indices identify and quantify symptoms that exert more influence in the network. These symptoms are influential in the network due to their strength (sum of absolute values of its connections with other nodes), betweenness (number of times a node lies on the shortest path between two other nodes), or closeness (the summed average distance of a node to all other nodes). Other centrality measures also exist. Centrality tests aimed to evaluate symptoms for their reported importance to the youth and association of those symptoms with other reported symptoms. The more “central” a symptom, the higher the potential to transmit effects to and from other symptoms in the network. This can make them important foci for intervention. Stability testing was used to assess the network's accuracy.Results/Discussion: Descriptive statistics are summarized in Table 1. The estimated network (Fig. 1) provided details on the eight most often reported symptoms; nausea, tired (intensity and distress), vomiting, pain, mouth pain, and sore throat (intensity). The network shows strong mutual associations (regularized partial correlations) between the intensity and distress of nausea (.596) and being tired (.722). There was also a strong relationship between mouth pain and sore throat (.791). A less strong relationship was noted between nausea intensity and tired intensity (.145), and tired intensity and pain intensity (.187). A slight negative relationship was noted between vomiting intensity and pain intensity (-.086).The centrality indices (Fig. 2) revealed vomiting intensity (-1.917) as the strongest symptom with the highest closeness (-1.715). The symptom with the highest betweenness centrality was equal for both nausea intensity and tired intensity at 1.286. To assess confidence in the network estimation we replicated this test 1000 times (non-parametric bootstrapping, n=1000) on the edge stability and centrality results (Fig. 3). Results indicate areas with wide confidence intervals (instability) especially in the edge between vomiting intensity and mouth pain.Conclusion: It is feasible to use mHealth data from youth who experience symptom distress during BMT. However, efforts to obtain more data is necessary if we hope to make accurate inferences from the data. Future work will focus on enriching data collection, examining clinically important sign and symptom patterns and interrelationships, and to explore feasibility of using mHealth data for individualized/precision care and possible predictive uses. [Display omitted] DisclosuresShah: Novartis: Research Funding, Speakers Bureau; GBT: Consultancy, Research Funding, Speakers Bureau; CSL Behring: Consultancy; Guidepoint Global: Consultancy; Alexion: Speakers Bureau; Bluebird Bio: Consultancy; Emmaus: Consultancy; GLG: Consultancy.

Electron sink on the Langmuir probe in plasma, its influence on measurements and methods to account for it

The influence of the electron sink effect on the probe on the results of measurements of the electron energy distribution functions (EEDFs), plasma potential, and electron concentration was studied. The studies were carried out for helium in a discharge with a hollow cathode at a gas pressure of ⩽1 Torr for cathode–anode distances of 1 cm and 3 cm; measurements were carried out at several distances from the cathode. The distribution functions were obtained by processing the probe volt–ampere characteristics using the standard Druyvesteyn method. The form of the measured EEDFs changed with distance from the cathode. According to test calculations performed using the Monte Carlo method, this was due to the nonlocal nature of the EEDF formation under the considered conditions. Calculations also showed that the nonlocality effect manifests itself mainly in the region of the high-energy part of the EEDF, while in the low-energy region the form of the EEDF is close to local one. The latter fact was used to correct the measured EEDFs with allowance for the effect of electron sinking to the probe. In standard probe measurements, the sink (flux, flow) of electrons to the probe leads to underestimated values of the EEDFs in the region of low electron energies. The paper analyzes various known methods (formulas) for calculating the amount of sink in relation to the experimental conditions under consideration. The correction of the measured EEDFs was carried out taking into account the indicated effect. The errors in determining the macroscopic parameters of the plasma and the rates of elementary processes using the EEDFs obtained by processing the probe characteristics without taking into account the sink effect were analyzed.

Bank Competition Using Networks: A Study on an Emerging Economy

Interconnectedness among banks is a key distinguishing feature of the banking system. It helps mitigate liquidity problems but on the other hand, acts as a curse in propagating systemic risk at times of distress. Thus, as banks cannot function in isolation, this study uses the Contemporary Theory of Networks to examine banking competition in India for five distinct economic phases, emphasizing upon the Global Financial Crisis (GFC) and the ongoing COVID-19 pandemic. This paper proposes a Market Power Network Index (MPNI), which uses network parameters to measure banks’ market power. This network structure shows a formation of bank clusters that are involved in competition. Specifically, network properties, such as centroid, average path length, the distance of a node from the centroid, the total number of connections in the inter-bank market, and network density, do go on to explain banking competition. It is interesting to note that crisis periods witness a lower level of competition, with GFC bearing the least competition. The ongoing COVID-19 pandemic shows a lower trend, but it is of a higher magnitude than GFC. It was also found that big-sized, profitable, capital adequate, and public banks dominate the banking system. Notably, this study was conducted on a sample of 33 listed Indian banks from April 2008 to December 2020.

A Three-Dimensional Electrochemical Process for the Removal of Carbamazepine

The scientific community is increasingly concerned about the presence of pharmaceuticals in the aquatic environment, which is a consequence of their high consumption and inefficient removal by wastewater-treatment plants. The search for an effective and sustainable tertiary treatment is therefore needed to enhance their removal. For this purpose, the combination of electrochemical and adsorption processes into three-dimensional (3D) electrochemical systems has been proposed. In this study, a 3D system was studied to remove carbamazepine, an antiepileptic, consumed in high doses and very persistent in the environment. The influences of the following parameters on its removal were evaluated: anode and cathode materials and distance between them, electrolyte (NaCl) concentration and pH, and the (carbon-based) adsorbent material used as the particulate electrode. The obtained results demonstrated that the introduction of the particulate electrode improved the removal efficiency. This can be attributed to the simultaneous occurrence of different phenomena, such as adsorption/electrosorption, electrocoagulation, oxidation, and catalytic degradation.

Anode influence on the electrochemical realization of packed bed heat transfer

Anode influence on the electroplating system was investigated when natural convection heat transfer in a packed bed is simulated by mass transfer based on the analogy. The cathode to anode area ratio (Ac/Aa) was varied from 1 to 50. For three different anode positions of top and bottom of test section and corner of acryl tank, the distance of anode to cathode bed was varied: 0.01, 0.03, 0.07 m in all heating spheres experiments. The sphere diameter was 0.006 m, which corresponds to Rad of 1.83×107. The duct diameter was 0.06 m and bed height was 0.025 m. The Sc corresponding to the Pr was 2014. The verification test result for a single heating sphere in unheated packed bed agreed well with the extrapolated correlation of Achenbach (1995). The anode influence experiments for all heating spheres showed that the limitation of the area ratio is about 20. The desirable positions of anode are the bottom of test section and corner of the acryl tank, regardless of the distance between the anode and cathode packed bed.

Model-free hidden geometry of complex networks.

The fundamental idea of embedding a network in a metric space is rooted in the principle of proximity preservation. Nodes are mapped into points of the space with pairwise distance that reflects their proximity in the network. Popular methods employed in network embedding either rely on implicit approximations of the principle of proximity preservation or implement it by enforcing the geometry of the embedding space, thus hindering geometric properties that networks may spontaneously exhibit. Here we take advantage of a model-free embedding method explicitly devised for preserving pairwise proximity and characterize the geometry emerging from the mapping of several networks, both real and synthetic. We show that the learned embedding has simple and intuitive interpretations: the distance of a node from the geometric center is representative for its closeness centrality, and the relative positions of nodes reflect the community structure of the network. Proximity can be preserved in relatively low-dimensional embedding spaces, and the hidden geometry displays optimal performance in guiding greedy navigation regardless of the specific network topology. We finally show that the mapping provides a natural description of contagion processes on networks, with complex spatiotemporal patterns represented by waves propagating from the geometric center to the periphery. The findings deepen our understanding of the model-free hidden geometry of complex networks.

Pipeline Corrosion Protection Simulation of Cathodic Protection Method Againts Electrochemical Potential Distribution

Corrosion protection is very necessary for all steel or other types of metal, especially in buried pipes (underground construction). Direct contact between pipe materials (Carbon steel) can accelerate the corrosion rate. This is the case with the 20 inch pipe project working on the pipe installation. Initially to prevent this type of corrosion was done cathodic protection, but the result of examination was proven that there was a leakage of the potential distribution protection to the ground. Therefore it is necessary to do a distribution protection simulation to get how many anodes (magnesium package) to meet protection needs. The anode distance simulation results on the distribution of potential are carried out with the following variations: distance of every 45 meters, distance of every 30 meters, distance of every 20 meters, and distance of anodes every 15 meters. Based on the simulation results it is found that the anode distance cannot meet the minimum protection (-850milli volt) except at a distance of 15 meters. Installation of anodes at a distance of 15 meters with each pair of distance of 4.9 meters proved that the simulation results have met the minimum potential for corrosion protection. So that it can be used as a reference for installation of anode spacing for pipe corrosion protection.

Effect of Cathode–Anode distance and electrical resistivity on macrocell corrosion currents and cathodic response in cases of chloride induced corrosion in reinforced concrete structures

When dealing with macrocell corrosion, it is crucial to consider the geometry and size of the structure, including the mobilizable cathode–anode distance, which is the maximum distance where passive reinforcement bars exchange current with corroding active sites. An application of the mobilizable cathode–anode distance is the corrosion of submerged regions of reinforced concrete structures where very high local anodic current densities were reported with no visual manifestation making this type of corrosion very dangerous. One possible explanation for these observations is that active steel (anode) bars in the submerged region could be coupled with a cathodic aerated zone located far away from the anode. This paper aims to study the influence of cathode–anode distance on the macrocell current. Experimental investigations were carried out on a 10 m long reinforced beam consisting of 20 segments of rebars: an anode where corrosion was initiated with chloride diffusion, and 19 identical cathodes. Different electrical connections were made between cathodes and corrosion currents were measured in order to test the impact of the cathode–anode distance on the evolution of corrosion current and the attenuation of the cathodic reaction in relation to the distance between anode and cathode. The experimental campaign was supported by numerical simulations, which confirmed the experimental results and tested the impact of electrical resistivity on the mobilizable cathode–anode distance. By connecting the anode to each cathode alone, it was found that macrocell corrosion current could be provided by cathode bars at large distances from the anode, the distance being dependent on the electrical resistivity of the structure. It was also found that, when all the cathodes were connected to the anode, the closest bar received the highest proportion of the total current, which increased with electrical resistivity, whereas the most distant bars received very limited amounts of current.