Arada, one of the world’s fastest-growing master developers, has announced the establishment of Arada KSA, a new real estate development company that will deliver large-scale communities across Saudi Arabia. The new entity was established in strategic partnership with XTOPIA, a community and lifestyle company developing integrated, mixed-use destinations across the region. Mohammed Al-Dhabaan, chairman of XTOPIA, has been appointed chairman of Arada KSA, underscoring the importance of the loca

The period from 2015 to 2019 is considered a time of absolute dominance for swipe culture in dating. New apps featuring the ‘swipe and meet’ mechanic appeared on the market, their audiences grew every day, and the number of swipes on popular versions reached up to 1 billion per day. The second wave of popularity for these apps came during the pandemic (2020–2021). Due to lockdowns and restrictions, the influx of users reached record levels. Today, this figure exceeds 360 million users. But 2026 is bringing significant changes to these impressive statistics.

Today, simply seeing a user’s photo is no longer enough to feel genuine attraction towards them and start communicating. The era of digitalisation has brought with it a lack of real-life communication. Users want to see, hear and feel each other. That’s why dating apps are introducing new formats into their functionality:

• voice messages;
• conversations with AI assistants;
• video.

The reason is clear: text allows you to think through every phrase, while a photo only shows a carefully chosen image. Voice adds intonation, pauses and spontaneous reactions. According to Hinge, 65% of surveyed users believe that voice helps them determine their interest in someone better than profile information. And connections made through voice messages are 48% more likely to lead to an in-person meeting. This explains why swipe mechanics are gradually giving way to real-time communication formats.

How voice platforms are disrupting swipe mechanics

Swiping is a search format that’s convenient when you need to look through dozens of unfamiliar profiles in a limited amount of time. It makes searching faster. But it doesn’t guarantee that a connection will be successful or progress beyond a simple greeting.

A photo and profile attract attention. Text maintains interest over several days. But these are only visual forms of communication that still don’t provide an understanding of how comfortable people feel talking to each other or whether there’s genuine attraction and mutual interest. Voice platforms offer a different approach: first get to know someone through conversation, and only then decide whether it’s worth meeting in person.

However, profiles aren’t disappearing completely. They’re evolving. AI matchmakers can be considered one form of this evolution. These are voice assistants that you can tell about your interests, personality, expectations and preferences through a real-time conversation. During such a conversation, you can clarify details that are often left unmentioned in standard profiles. For example, someone may value not only shared hobbies but also a similar daily routine, a sense of humour or attitudes towards free time. This is how Riya, the voice AI matchmaker in the Schmooze app, works. According to the company’s co-founder, Vidya Madhavan, user retention with the AI assistant is twice the average rate.

Another example is Known. The service uses voice AI to match potential partners, while users reveal their photos when both are ready to take that step. According to data cited in an industry publication, users accept 50% of suggested dates.

Voice helps make getting to know someone more meaningful even before meeting in person. Users don’t simply evaluate a profile; they express their thoughts, answer questions and hear their chat partner’s reactions. Swiping doesn’t disappear, but it stops being the only way to start communicating.

Why a video chat like Omegle app helps you understand someone better than a profile

The next level of information sharing after voice messages is video, which allows you not only to see someone but also to observe their non-verbal reactions. During a conversation, you can notice whether your chat partner is listening attentively, responding to jokes, able to keep the conversation going and how they behave when an awkward silence occurs. These details don’t provide a complete picture of someone’s personality, but they help create a more realistic first impression. That’s why, when meeting people through video chats, it’s so important to pay attention to several things:

• Communication style. Does the person ask questions, keep the conversation going and show interest, or do they only talk about themselves?
• Reactions to their chat partner. Do they listen to answers, respond to jokes and take other people’s points of view into account?
• Behaviour in awkward situations. Can they calmly handle a pause or an accidental slip of the tongue without turning it into a problem?
• Natural flow of conversation. Is it possible to communicate without constantly searching for the perfect words or feeling the need to fill every second of silence?
• Comfort during communication. Can you express your thoughts freely without fearing ridicule or disrespectful comments?

A major disadvantage of messaging is that your chat partner can edit their response at any moment or simply spend a little more time choosing the right words. In an online video chat, communication happens almost simultaneously.

The video format also helps you move more quickly from an abstract impression of someone to real communication. Instead of spending several days messaging, you can have a short conversation and understand whether you want to continue getting to know them. At the same time, the process of finding a stranger works in a way that’s similar to the familiar swipe mechanic. For example, on the well-known Omegle service, switching between users took just a few seconds. Chat partners saw each other, exchanged a few words, worked out whether it was worth continuing the conversation, and either carried on talking or switched to other users. This saves a significant amount of time and makes dating more productive. Despite the closure of the popular chat roulette platform, its mechanics continue to be successfully used by modern services such as Omegle.chat. This great Omegle app me alternative offers the opportunity for real-time communication without commitments or pre-planned scenarios.

Dating in 2026: less selection, more communication

The growing interest in voice and video formats reflects a gradual shift in the dating industry. Users still want to find suitable partners, but they’re increasingly unwilling to spend time endlessly browsing profiles. The opportunity to understand more quickly whether there’s mutual interest between people is coming to the forefront. Instead of dozens of text conversations that end after just a few messages, people are looking for formats that allow them to move towards meaningful conversations sooner.

Most projects are already showing growth in audiences interested in video communication. According to JPLoft, platforms that have introduced this mechanic into their functionality are already recording 35% higher user engagement compared with services that rely solely on text messaging. The key reason is that it helps bring people closer together. Video dating in chat roulettes doesn’t guarantee that someone will find their ideal partner within a few hours. But it allows them to get a quicker sense of whether a particular online encounter is worth pursuing and has the potential to develop further. Other reasons for the dating industry’s shift towards random video chats include:

• Safety at an early stage (there’s no need to share your phone number to make a call).
• The ability to check for basic chemistry and communication style.
• A higher level of protection against fake profiles.
• Psychological comfort and safety.

At the same time, we shouldn’t expect voice to completely replace text or video chats to replace traditional apps. Different formats serve different purposes. A profile helps communicate interests and basic expectations, messaging gives you time to formulate your thoughts, voice conveys intonation, and video communication allows you to observe more details of someone’s behaviour. These methods can complement each other rather than compete for the only place in the process of getting to know someone.

---

DISCLAIMER – “Views Expressed Disclaimer – The information provided in this content is intended for general informational purposes only and should not be considered financial, investment, legal, tax, or health advice, nor relied upon as a substitute for professional guidance tailored to your personal circumstances. The opinions expressed are solely those of the author and do not necessarily represent the views of any other individual, organization, agency, employer, or company, including NEO CYMED PUBLISHING LIMITED (operating under the name Cyprus-Mail).

Methodological errors in structural verification rarely stop a calculation. The solver finishes normally, reports no numerical warning, and can still produce results that look plausible.

This article walks through six common technical mistakes that distort results while the software reports no failure at all.

1. Peak stress from the contour plot goes straight into the check

ASME BPVC Section VIII, Division 2, Part 5 works with categorized stress components. The stress field is decomposed along a stress classification line drawn through the thickness into membrane, bending, and peak parts, and each part is compared against its own allowable. WRC Bulletin 429 describes how to construct that line on a finite element model. The conditions for comparison are strict. Geometry, thickness, loads, point location, coordinate system, surface, stress components, and classification all have to match on both sides.

The scale of the discrepancy shows up in a worked comparison on a nozzle-to-shell junction. The WRC calculation gives 148 MPa. An aligned readout from the FE model gives 154 MPa, a difference of about 4%. The nodal peak at the weld toe in the same model reads 238 MPa, roughly 55% higher. That number does not enter the check until someone establishes what it represents: a converged structural stress, a fatigue quantity, a notch stress, or a numerical artifact.

Stress categorization is routinely confused with nodal averaging. Averaging smooths stress across adjacent elements to produce a continuous contour plot, and it belongs entirely to the post-processor. At a thickness transition or a material interface, that smoothing hides a real stress jump the structure actually has. Comparing the averaged and unaveraged fields separates a physical gradient from a plotting artifact.

2. Nonlinear results get combined like linear ones

Running several hundred load combinations usually relies on linear superposition. Base load cases are solved once, then scaled and summed at the post-processing stage. The method cuts solver time by a large factor, and it holds as long as the stiffness matrix stays constant.

Once contact, plasticity or large-deformation effects enter the model, the response is no longer generally proportional to the applied loads and can depend on the loading path. The dead load result added to the live load result no longer matches the result of both applied together in a single analysis.

The software still performs the addition and reports formal utilization ratios. The resulting stress field has no physical meaning and corresponds to no real state of the structure. In a nonlinear formulation, every governing combination needs its own solver run, which is a different task in computational scale.

3. ASD and LRFD mixed in one project

The two methods agree only over a narrow range. AISC 360 carries both, but the checks run along different paths. ASD compares service-level forces against nominal strength divided by Ω. LRFD compares factored forces against nominal strength multiplied by φ. The agreement between them is calibrated at a live-to-dead load ratio of three.

Away from that point, the two diverge. Under dead load alone, ASD demands about 25% more section capacity. With equal dead and live load, the gap narrows to 7%. At a ratio of five, LRFD becomes the more demanding of the two.

The divergence itself is not an error. Both methods are code-sanctioned, and either one used consistently produces a defensible design. The error comes from carrying a quantity across from one to the other. A beam sized by ASD under equal dead and live load runs at a utilization ratio of 1.00. Substituting the LRFD factored force into that same check, 1.2G + 1.6Q in place of G + Q, pushes the ratio to 1.40 and reports a failure the structure does not have. The reverse substitution, a service-level force checked against φRn, hides a real capacity shortfall.

4. The thickness correction is missing from the fatigue check

An S-N curve is calibrated at a reference thickness. For DNV-RP-C203 that reference is 25 mm, and a thicker plate performs worse at the same stress range: the crack front is longer and the through-thickness stress gradient is shallower.

The correction enters the check as a factor (t_eff/t_ref)ᵏ, with k = 0.20 for the D-curve in air. For a 40 mm plate, the allowable stress range is 9% lower than for 25 mm. At 100 mm it drops by 24%. The effect on calculated life is larger since stress range enters the cycle count to the third power. The 40 mm plate loses roughly a quarter of its fatigue life, and the 100 mm plate around 56%.

Another error sits inside t_eff itself. This is an effective thickness, and for welded joints it follows from the geometry of the connection, including the width of the deposited weld. Substituting the nominal plate thickness from the material list produces a correction that does not match the detail.

5. The check runs against the wrong National Annex

A Eurocode check rests on two documents. The CEN core text sets the form of the checks. The National Annex of the country where the structure is built assigns the numbers: partial factors γM, combination factors ψ, the mapping of buckling curves to section types, and climatic action maps. Values printed in the core text are marked as recommended, and without a National Annex they carry no binding force.

“Verified to Eurocode” with no country named is therefore an undefined statement.

Running the model against another country’s parameter set produces a properly formatted report that does not match the code enforced at the site. The question turns practical wherever a structure is fabricated in one country and installed in another. Offshore modules, port cranes, and bridge spans fall into that category routinely.

6. Assumptions stay outside the report, results stay outside the model

Building a model means accepting a series of assumptions: a joint treated as pinned, a panel edge treated as fixed. Each decision is justified at the moment of the analysis. Months later, it is often unrecoverable from either the model file or the report.

Exporting results to an outside spreadsheet adds a second problem, because the export breaks the link to the model. When the geometry changes, the exported data does not, and decisions get made on stale numbers.

The gap closes where the check is stored with the model. In structural analysis and code-checking software (https://sdcverifier.com/), check parameters attach to the entity the check applies to and print into the report alongside the result. A reviewer sees that the panel edge was taken as fixed and can argue with it. A spreadsheet cell holding the same value with no explanation leaves nothing to argue with.

The cost of a review that never happened shows up in accident investigations. In a UK tower crane collapse, 24 slew ring bolts failed, and metal fatigue was named as the cause. The same bolts had failed on that crane once before. They were replaced, the cause was never established, and the mechanism repeated.

What actually confirms a result

None of the six errors interrupts the software. The calculation completes without warnings, and a standard report comes out at the end.

Full traceability remains the only reliable criterion. The final utilization ratio has to decompose step by step back to its inputs: the load combination, the code parameters, the section properties, and the assumptions taken at the start. A ratio that will not decompose is not technically confirmed.

---

DISCLAIMER – “Views Expressed Disclaimer – The information provided in this content is intended for general informational purposes only and should not be considered financial, investment, legal, tax, or health advice, nor relied upon as a substitute for professional guidance tailored to your personal circumstances. The opinions expressed are solely those of the author and do not necessarily represent the views of any other individual, organization, agency, employer, or company, including NEO CYMED PUBLISHING LIMITED (operating under the name Cyprus-Mail).